Research activity information

• Sep. 2021 ICIC International, ICICIC2021 Outstanding Team Contribution Award

  Hajime Murao


• Aug. 2015 ICICIC Founders, 10th ICICIC Contribution Award, Great Contributions to ICIC Academic Event

  MURAO HAJIME

  International society


• 2002 International Symposium on Scheduling 2002 Best Paper Award, Mathematical Modeling and Hybrid Solution for a Class of Flexible Shop Scheduling Problems

  Kazutoshi Sakakibara, Hisashi Tamaki, Hajime Murao, Shinzo Kitamura

• Is Feedback from a 3D Avatar as Effective as Feedback from a Real Person?

  Junko Tanaka, Enqi Wei, Hajime Murao

  Last, Mar. 2026, PERTANIKA PROCEEDINGS, 2(1) (1), 133 - 137, English

  [Refereed]

  Scientific journal


• A WRITING PROCESS VISUALIZATION TOOL BASED ON FINE-GRAINED INPUT LOG ANALYSIS

  Eri Maekawa, Yasuko Okano, Hajime Murao

  Last, IATED, Nov. 2025, ICERI Proceedings, 1, 5103 - 5108

  [Refereed]

  International conference proceedings


• Explaining Facial Muscle Movements of Japanese Learners and Speakers Using SHAP

  Jiawen Xu, Hajime Murao

  Last, Aug. 2025, ICIC Express Letters, 19(8) (8), 861 - 868, English

  [Refereed]

  Scientific journal


• Exploring the Characteristics of Japanese Municipalities Contributing to a Growing Young Population

  Itsuki Kuwahara, Hajime Murao

  Last, Aug. 2025, ICIC Express Letters, Part B: Applications, 16(8) (8), 843 - 848, English

  [Refereed]

  Scientific journal


• Comparative Study of Performance Differences in Communication in Face-to-Face, Online, and VR

  Masashi Notoya, Hajime Murao

  Last, Nov. 2024, 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), English

  [Refereed]

  International conference proceedings


• Measuring Sentence Similarity for Text Simplification: Identifying Effective Metrics

  Eri Maekawa, Hajime Murao

  Last, Sep. 2024, ICIC Express Letters, 18(9) (9), 927 - 933, English

  [Refereed]

  Scientific journal


• A Study on Analyzing Differences in Facial Muscle Usage between Native and Non-Native Japanese Speakers Based on EMG Signals

  Jiawen Xu, Hajime Murao

  Last, Aug. 2023, ICIC Express Letters, PartB: Applications, 14(8) (8), 787 - 794, English

  [Refereed]

  Scientific journal


• A PROPOSAL TO CREATE A PSEUDO-PARALLEL TEXT CORPUS FOR SIMPLIFYING JAPANESE USING DTW

  Eri Maekawa, Hajime Murao

  Last, IATED, Mar. 2023, INTED2023 Proceedings (The Proc. of the 17th Int. Technology, Education and Development Conf.), 6542 - 6550, English

  [Refereed]

  International conference proceedings


• A study on analyzing differences between native Japanese speakers and non-native speakers based on facial muscle EMG signals

  Jiawen Xu, Hajime Murao

  Last, Sep. 2022, The Proceedings of the 16th International Conference on Innovative Computing, Information and Control (ICICIC2022), English

  [Refereed]

  International conference proceedings


• INTERPRETING BERT ATTENTION TRAINED FOR JAPANESE DIFFICULTY CLASSIFICATION FROM THE VIEWPOINT OF GRAMMATICAL FEATURES

  Maekawa, E., Murao, H.

  Last, Jul. 2022, ICIC Express Letters, Part B: Applications, 13(7) (7), 697 - 703, English

  [Refereed]

  Scientific journal


• The Comparison of Word Embeddings and Feature Vectors in Text Classification by Difficulty Level

  Eri Maekawa, Hajime Murao

  Last, Sep. 2021, Proceedings of the 15th International Conference on Innovative Computing, Information and Control (ICICIC2021), Online, English

  [Refereed]

  International conference proceedings


• Analysis of the Behavior of Foreign Tourists Using Mobile Translation devices

  Eri Maekawa, Hajime Murao

  Last, Sep. 2020, The SICE Annual Conference 2020, English

  [Refereed]

  International conference proceedings


• Study on the Effect of Appearance of Personified Agents in Persuasion

  Megumi Kawata, Hajime Murao

  Last, Sep. 2020, The SICE Annual Conference 2020, English

  [Refereed]

  International conference proceedings


• Estimating desk work status from video stream using a deep neural network

  Kawata, M., Murao, H.

  Last, Jul. 2020, ICIC Express Letters, Part B: Applications, 11(7) (7), 649 - 654, English

  [Refereed]

  Scientific journal


• A study on finding differences in movement of expert and novice darts players by using a kinect-like 3D image sensor

  Murao, H.

  Lead, May 2020, ICIC Express Letters, Part B: Applications, 11(5) (5), 487 - 492, English

  [Refereed]

  Scientific journal


• ESTIMATING DESK WORK STATUS FROM VIDEO STREAM USING A DEEP NEURAL NETWORK

  Megumi Kawata, Hajime Murao

  Last, Aug. 2019, Proceedings of the 14th International Conference on Innovative Computing, Information and Control

  [Refereed]

  International conference proceedings


• Analysis of reading experience with heart rate variability and galvanic skin response sensor

  Zhang, F., Murao, H.

  ICIC International, Feb. 2019, ICIC Express Letters, Part B: Applications, 10(2) (2), 129 - 136, English

  [Refereed]

  Scientific journal


• Analysis of Reading Experience with Heart Rate Variability and Galvanic Skin Response Sensor

  ZHANG FAN, MURAO HAJIME

  ICIC International, Aug. 2018, 13th International Conference on Innovative Computing, Information and Control (ICICIC2018), English

  [Refereed]

  International conference proceedings


• Study on kinect-based sonification system for blind spot warning

  KAWATA MEGUMI, MURAO HAJIME

  IEEE, Nov. 2017, Proc. of IEEE International Conference on Information, Communication and Engineering (ICICE 2017), English

  [Refereed]

  International conference proceedings


• A study on finding key movements to discriminate expert and novice by using a kinect-like 3d sensor

  MURAO HAJIME, Kazuaki Nonohara

  What is an essential difference between the expert movement and the novice one at where the movement plays important role such as dancing, playing darts, or preparing tea at Japanese tea ceremony? We would like to figure out it from the movement of the human joints at an activity. Which will give us a hint how to improve our behavior. In our study, Structure Sensor, a Kinect-li

  IEEE, Nov. 2017, Proc. of IEEE International Conference on Information, Communication and Engineering (ICICE 2017), English

  [Refereed]

  International conference proceedings


• A preliminary study to develop a lightweight biofeedback device for reading activity

  ZHANG FAN, MURAO HAJIME

  Nov. 2017, Proc. of IEEE International Conference on Information, Communication and Engineering (ICICE 2017), English

  [Refereed]

  International conference proceedings


• Advantages and disadvantages of biofeedback on playing puzzle games

  ZHANG FAN, MURAO HAJIME

  This paper attempts to investigate whether stopping using biofeedback tech- niques applied to studying and entertainment after a long-period of use will make the participant’s performance worse than before. At present, many research works focus on applying to biofeedback technique to entertainment or learning-support systems, so as to improve user’s behavior by increasing excit

  ICIC International, Feb. 2017, ICIC Express Letters, Part B: Applications, 8(2) (2), 263 - 268, English

  [Refereed]

  Scientific journal


• Hedgehog: Team building system estimating effectiveness of team

  Miyake, S., Murao, H.

  2016, ICIC Express Letters, 10(4) (4)

  Scientific journal


• Hedgehog: Team building system estimating effectiveness of team

  Miyake, S., Murao, H.

  2016, ICIC Express Letters, 10(4) (4)

  Scientific journal


• Template of Japanese Journal of BMFSA and the Manual of Writing

  ZHANG Fan, MURAO Hajime

  This paper attempts to apply biofeedback to several types of puzzle games, to enhance players'engagement level and behavior during the gameplay. In the research, we carried out a four times experiment on five college students. Results showed that the feedback based on brainwaves could enhance players'engagement in Sudoku puzzle games, but not effective in physics puzzle games. We thought that biometric information of players in irrelevant stages (e.g. game loading, waiting) would produce a negative influence on results, so we suggested excluding it from the feedback to players. Besides, giving the false but positive feedback information instead of the real one to players can make them feel good, but the decline of engagement level will be restored to the former condition without feedback. It means that in the process of biofeedback, the real feedback information not being provided continuously will not influence player's subjective experience, while the effect of feedback cannot be maintained.

  Biomedical Fuzzy Systems Association, 2016, Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association, 29(0) (0), 190 - 193, Japanese


• Brain-computer interface (Bci) based learning support system providing the feedback on learner’s emotions and its effect

  Zhang, F., Murao, H.

  2016, ICIC Express Letters, 10(2) (2), CD - Paper, English

  [Refereed]

  Scientific journal


• Hedgehog: Team formation system learning performance of team

  Shuhei Miyake, MURAO HAJIME

  Aug. 2015, Proceedings of the Tenth International Conference on Innovative Computing, Information and Control, CD - Paper, English

  [Refereed]

  International conference proceedings


• Epidemiological modeling of knowledge propagation represented by scientific publications and regional affiliation

  Marutschke, D.M., Murao, H., Ogawa, H.

  Aug. 2015, ICIC Express Letters, 9(12) (12), CD - Paper, English

  [Refereed]

  Scientific journal


• Parameter acquisition for epidemiological modeling of knowledge propagation in scientific publications using differential evolution and their cultural classification by principal component analysis

  Daniel Moritz Marutschke, KUSHIDA Jun'ichi, MURAO Hajime, OGAWA Hitoshi

  IJICIC, May 2015, ICIC Express Letters, 6(5) (5), 1243 - 1249, English

  [Refereed]

  Scientific journal


• A study on human gait analysis and its application to human attribute recognition

  Su, Y., Murao, H.

  IJICIC, May 2015, ICIC Express Letters, 9(5) (5), 1427 - 1433, English

  [Refereed]

  Scientific journal


• Evaluating city personality from geo-tagged SNS messages

  Murao, H.

  IJICICI, Mar. 2015, ICIC Express Letters, 9(3) (3), 729 - 735, English

  [Refereed]

  Scientific journal


• Experiments to understand the relationship between group balance and actual group performance

  Kuwano, T., Murao, H.

  IJICIC, 2015, ICIC Express Letters, 9(5) (5), 1319 - 1325, English

  [Refereed]

  Scientific journal


• An entropy-guided adaptive Co-construction method of state and action spaces in reinforcement learning

  Nagayoshi, M., Murao, H., Tamaki, H.

  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nov. 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8834, 119 - 126, English

  [Refereed]

  Scientific journal


• Personality estimation from sns messages and its application to evaluate city personality.

  MURAO Hajime

  IICST, Sep. 2014, Proceedings of the 4th IICST 2014, #1, English

  [Refereed]

  Scientific journal


• An Approach of Vectorizing Shopping Paths Sensed by RFID Tags to Classify Retail Customers and Its Application with Principal Component Regression

  Tsutomu Inamoto, Asako Ohno, Hajime Murao

  Jul. 2014, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 97(7) (7), 63 - 72, English

  [Refereed]

  Scientific journal


• Short study on complexity and feasibility of deterministic epidemiological models to track knowledge propagation in scientific publications

  Marutschke, D.M., Murao, H.

  IJICIC, Apr. 2014, ICIC Express Letters, 8(4) (4), 1081 - 1088, English

  [Refereed]

  Scientific journal


• Identifying the City Personality from Text Messages transmitted over SNS with Location Information.

  MURAO Hajime

  神戸大学大学院国際文化学研究科異文化研究交流センター, Mar. 2014, 2013年度研究報告書：EUアイデンティティの構築とその政治的意義, English

  Scientific journal


• Extracting feature values from human gait by using LPC cepstrum analysis for attribute recognition

  Su, Y., Murao, H.

  IJICIC, Mar. 2014, ICIC Express Letters, 8(3) (3), 815 - 820, English

  [Refereed]

  Scientific journal


• Personality Estimation from SNS Messages and its Application to Evaluating a City Personality

  Hajime Murao

  2014, INTERNATIONAL WORKSHOP ON INNOVATIONS IN INFORMATION AND COMMUNICATION SCIENCE AND TECHNOLOGY, IICST 2014, 18, 72 - 79, English

  [Refereed]

  International conference proceedings


• Cultural characteristics of knowledge propagation in scientific publications - japan, china, and worldwide

  Daniel Moritz Marutschke, MURAO hajime

  IICST, Sep. 2013, Proceedings of the 3rd ICIST 2014, 39 - 44, English

  [Refereed]

  International conference proceedings


• A study on human attribute recognition by applying lpc cepstrum analysis to human gait

  Su Yancong, MURAO Hajime

  IICST, Sep. 2013, Proceedings of the 3rd IICST 2013, 1 - 6, English

  [Refereed]

  International conference proceedings


• Evaluating the City Characteristics through Geo-Tagged Tweets.

  MURAO Hajime

  神戸大学大学院国際文化学研究科異文化研究交流センター, Mar. 2013, 2012年度研究報告書：EUアイデンティティの構築とその政治的意義, English

  Scientific journal


• Epidemiological modeling of knowledge propagation in scientific publications

  Marutschke, D.M., Murao, H.

  IJICIC, Mar. 2013, ICIC Express Letters, 7(3 B) (3 B), 923 - 928, English

  [Refereed]

  Scientific journal


• A study on feature extraction from human body motion by using cepstrum analysis

  Su Yancong, MURAO Hajime

  IJICIC, Mar. 2013, ICIC Express Letters, 7(3) (3), 1011 - 1015, English

  [Refereed]

  Scientific journal

  Link to Kobe Univ. Repository (Kernel)


• Reinforcement learning for dynamic environment: a classification of dynamic environments and a detection method of environmental changes

  Masao Nagayoshi, Hajime Murao, Hisashi Tamaki

  2013, PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 18TH '13), 424 - 427, English

  [Refereed]

  International conference proceedings


• Reinforcement learning for dynamic environment: A classification of dynamic environments and a detection method of environmental changes

  Masato Nagayoshi, Hajime Murao, H. Tamaki

  2013, Artificial Life and Robotics, 18(1-2) (1-2), 104 - 108, English

  [Refereed][Invited]

  Scientific journal


• Developing reinforcement learning for adaptive co-construction of continuous high-dimensional state and action spaces

  Nagayoshi, M., Murao, H., Tamaki, H.

  Sep. 2012, Artificial Life and Robotics, 17(2) (2), 204 - 210, English

  [Refereed]

  Scientific journal


• Switching reinforcement learning for continuous action space

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  Mar. 2012, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 95(3) (3), 37 - 44, English

  [Refereed]

  Scientific journal


• WM algorithm: A new similarity measure for natural language based on author's writing style

  Ohno, A., Murao, H.

  2012, ICIC Express Letters, 6(4) (4)

  Scientific journal


• Multi-step model of switching reinforcement learning to mimic infants' motor development

  Nagayoshi, M., Murao, H., Tamaki, H.

  2012, Computational Intelligence

  Scientific journal


• WM algorithm: A new similarity measure for natural language based on author's writing style

  Ohno, A., Murao, H.

  2012, ICIC Express Letters, 6(4) (4)

  Scientific journal


• Multi-step model of switching reinforcement learning to mimic infants' motor development

  Nagayoshi, M., Murao, H., Tamaki, H.

  2012, Computational Intelligence

  Scientific journal


• Reinforcement Learning for Dynamic Environment: Study on Adaptation by Partially Enlarging of the Calibration of State and Action Spaces

  Nagayoshi Masato, Murao Hajime, Tamaki Hisashi

  In general, it is not easy to put Reinforcement Learning into practical use. Our approach mainly deals with the problem of designing state and action spaces. Recently, we have proposed a co-construction method of state and action spaces. In this paper, we propose a detection method of environmental changes and a co-construction method by partially enlarging of the calibration of state and action spaces to adapt dynamic environment. In addition, the validity of the proposed method is confirmed through computational experiments using a so-called "path plannning problem" under dynamic environment.

  Japan Society for Fuzzy Theory and Intelligent Informatics, 2012, Proceedings of the Fuzzy System Symposium, 28, 79 - 84, Japanese


• Developing reinforcement learning for adaptive co-construction of continuous state and action spaces

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  2012, PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 17TH '12), 963 - 966, English

  [Refereed]

  International conference proceedings


• An approach of vectorizing shopping paths sensed by rfid tags to classify retail customers and its application with principal component regression

  Tsutomu Inamoto, Asako Ohno, Hajime Murao

  Institute of Electrical Engineers of Japan, 2012, IEEJ Transactions on Electronics, Information and Systems, 132(12) (12), 2051 - 2058, English

  [Refereed]

  Scientific journal


• An Implementation of Dynamic Programming for Many-Core Computers

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  Sep. 2011, Proceedings of SICE Annual Conference 2011, pp. 961-966, English

  [Refereed]

  International conference proceedings


• A TWO-STEP IN-CLASS SOURCE CODE PLAGIARISM DETECTION METHOD UTILIZING IMPROVED CM ALGORITHM AND SIM

  Asako Ohno, Hajime Murao

  Aug. 2011, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 7(8) (8), 4729 - 4739, English

  [Refereed]

  Scientific journal


• 連続行動空間への適用を考慮した Switching 強化学習

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi

  Reinforcement Learning (RL) attracts much attention as a technique of realizing computational intelligence such as adaptive and autonomous decentralized systems. In general, however, it is not easy to put RL into practical use. This difficulty includes a problem of designing a suitable action space of an agent, i.e., satisfying two requirements in trade-off: (i) to keep the characteristics (or structure) of an original search space as much as possible in order to seek strategies that lie close to the optimal, and (ii) to reduce the search space as much as possible in order to expedite the learning process.
  In order to design a suitable action space adaptively, we propose switching RL model to mimic a process of an infant's motor development in which gross motor skills develop before fine motor skills. Then, a method for switching controllers is constructed by introducing and referring to the “entropy”. Further, through computational experiments by using robot navigation problems with one and two-dimensional continuous action space, the validity of the proposed method has been confirmed.

  The Institute of Electrical Engineers of Japan, May 2011, 電気学会論文誌 C (電子・情報・システム部門誌), vol. 131, no. 5, pp. 976–982(5) (5), 976 - 982, Japanese

  [Refereed]

  Scientific journal


• ICTを活用した教育・学習支援のトレンドを企画して(<特集>ICTを活用した教育・学習支援のトレンド)

  Hajime Murao

  2011, システム／制御／情報, Japanese, Domestic magazine

  Scientific journal


• Switching reinforcement learning for continuous action space

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  Institute of Electrical Engineers of Japan, 2011, IEEJ Transactions on Electronics, Information and Systems, 131(5) (5), 976 - 982, English

  [Refereed]

  Scientific journal


• Adaptive co-construction of state and action spaces in reinforcement learning

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  2011, PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), pp. 589–592, 589 - 592, English

  [Refereed]

  International conference proceedings


• Adaptive co-construction of state and action spaces in reinforcement learning

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  2011, PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), vol. 16, no. 1, pp. 48–52, 589 - 592, English

  [Refereed]

  International conference proceedings


• Switching Reinforcement Learning to Mimic an Infant’s Motor Development—Application to Two-dimensional Continuous Action Space—

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi

  Aug. 2010, Proceedings of the SICE Annual Conference 2010 (SICE 2010), pp. 243–246, English

  [Refereed]

  International conference proceedings


• Fundamental study of clustering images generated from customer trajectory by using self-organizing maps

  Ohno, A., Inamoto, T., Murao, H.

  2010, ICIC Express Letters, 4(5 B) (5 B)

  Scientific journal


• Fundamental study of clustering images generated from customer trajectory by using self-organizing maps

  Ohno, A., Inamoto, T., Murao, H.

  2010, ICIC Express Letters, 4(5 B) (5 B)

  Scientific journal


• Switching Reinforcement Learning for Continuous Action Space: Application to Two-Dimensional Continuous Action Space

  Nagayoshi Masato, Murao Hajime, Tamaki Hisashi

  強化学習は，実用性といった観点から，状態空間や行動空間を予め適切に設計す ることが難しい． この点に留意し，状態空間および行動空間を共に適応的構成する計算モデルにつ いての検討を進めており，これまで，状態空間を固定した上で，行動空間に対する適応的構成を試みるため，Q-learningとActor-Criticを用いた切り替え型の強化学習法を提案している． 本稿では，2次元行動空間を有するロボットナビゲーション問題を対象とした計 算機実験を通して，提案手法の有効性・可能性について検討する．

  The Institute of Systems, Control and Information Engineers, 2010, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, SCI10, 68 - 68, Japanese


• Work in progress - A novel methodology to reduce instructors' and students' psychological burdens in source code plagiarism detection

  Asako Ohno, Hajime Murao

  2010, Proceedings - Frontiers in Education Conference, FIE, S3 - D2, English

  [Refereed]

  International conference proceedings


• Work in Progress - A Novel Methodology to Reduce Instructors' and Students' Psychological Burdens in Source Code Plagiarism Detection

  Asako Ohno, Hajime Murao

  2010, 2010 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE), English

  [Refereed]

  International conference proceedings


• An Approach Employing Polysemous Rules to Complement Legacy Rules for the Elevator Operation

  Tsutomu Inamoto, Chikara Ohta, Hisashi Tamaki, Hajime Murao

  2010, JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 4(3) (3), 651 - 663, English

  [Refereed]

  Scientific journal


• A reinforcement learning with switching controllers for a continuous action space

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  2010, Artificial Life and Robotics, 15(1) (1), 97 - 100, English

  [Refereed]

  Scientific journal


• A NEW SIMILARITY MEASURE FOR IN-CLASS SOURCE CODE PLAGIARISM DETECTION

  Asako Ohno, Hajime Murao

  Nov. 2009, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 5(11B) (11B), 4237 - 4247, English

  [Refereed]

  Scientific journal


• A SIMILARITY MEASURING METHOD FOR IMAGES BASED ON THE FEATURE EXTRACTION ALGORITHM USING REFERENCE VECTORS

  Asako Ohno, Hajime Murao

  Mar. 2009, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 5(3) (3), 763 - 771, English

  [Refereed]

  Scientific journal


• A Reinforcement Learning System with Switching Controllers for Continuous Action Space

  Nagayoshi Masato, Murao Hajime, Tamaki Hisashi

  In general, it is not easy to put Reinforcement Learning (RL) into practical use. This difficulty includes a problem of designing reasonable state and action spaces of an agent, i.e., satisfying two requirements in trade-off: to reduce the search space for making a learning process be fast and to keep the characteristics of the search space for seeking better strategies.
  In this paper, in order to overcome the above difficulty, we propose a RL system with switching controllers to mimic a process of a infant's motor development and a switching way to adjust the search space adaptively by referring to an entropy or a number of learning time.

  The Japan Joint Automatic Control Conference, 2009, Proceedings of the Japan Joint Automatic Control Conference, 52, 219 - 219, Japanese


• Modeling and quantification of superficial features extracted from source codes: In consideration of fluctuation of description among learning data

  Asako Ohno, Hajime Murao

  2009, 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009, 1427 - 1430, English

  [Refereed]

  International conference proceedings


• POMDPsでの強化学習における状態フィルタ

  Hajime Murao

  2009, 計測自動制御学会論文集, Vol 45. No. 1, pp. 41-50, Japanese, Domestic magazine

  [Refereed]

  Scientific journal


• Dynamic Programming on Reduced Models and Its Evaluation through Its Application to Elevator Operation Problems

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  2009, SICE JCMSI, Vol. 2, No. 4, pp. 213-221, English

  [Refereed]

  Scientific journal


• Decreasing computational cost of dynamic programmings based on symbolic binary coding scheme by algebraic computation

  Tsutomu Inamoto, Chikara Ohta, Hisashi Tamaki, Hajime Murao

  Institute of Electrical Engineers of Japan, 2009, IEEJ Transactions on Electronics, Information and Systems, 129(7) (7), 10 - 1245, English

  [Refereed]

  Scientific journal


• A Design of Dynamic Programming for Elevator Operation Problems and Increasing Its Efficiency by Reducing State Transition Models

  Tsutomu Inamoto, Hisashi Tamaki, Hajime Murao

  In the present paper, a dynamic programming (DP) approach for elevator operation problems is reported, in which two kinds of the design of DP algorithms are introduced. One (Value Iteration; VI) is rather naive imple-mentation of DP concept to the problems, and the other (Dynamic Programming on Reduced Models; DPRM) isan improved version in computational efficiency by reducing the accuracy of the utilized state transition model. The basic idea of this reduction is as follows: it is expected that dropping some situational-inputs, which rep-resent the possible causes for each state transition, with low occurring probabilities may reduce the size of the state transition model without losing the essence of a system's behavior.
  In computational illustrations, the VI and the DPRM are applied to two types of the problems of small sized, and it is observed that the computational time required in applying the DPRM is much less than that in applying the VI for each problem, while the results obtained by both methods are almost equal with respect to not only averaged but also maximum waiting time over passengers. Furthermore, the optimal and quasi-optimal plicies obtained by the VI and DPRM are compared with an existing elevator allocation rule (Call Dispatching; CD), and the results show both policies are statistically better than the CD.

  The Society of Instrument and Control Engineers, Feb. 2008, 計測自動制御学会論文誌, Vol. 44, No. 2, pp. 174-182(2) (2), 174 - 182, Japanese

  [Refereed]

  Scientific journal


• A quantification of students' coding style utilizing HMM-based coding models for in-class source code plagiarism detection

  Asako Ohno, Hajime Murao

  2008, 3rd International Conference on Innovative Computing Information and Control, ICICIC'08, English

  [Refereed]

  International conference proceedings


• Measuring Source Code Similarity Using Reference Vectors

  OHNO, Asako, MURAO, Hajime

  In this paper, we propose a novel method to measure similarity between program source codes. Different to others, our method doues not compare two source codes directly but compares two reference vectors, where a reference vector is calculated from one source code and a set of reference source codes. This means that our method requires no original source code when considering an application open to public such as a search engine for the program source code on the internet. We have built a simple search system and have evaluated with Java source codes made in the university course of basic programming. Results show that the system can achieve quite high average precision rate in very short time which means the proposed method can measure correct similarity very fast.

  The Institute of Electrical Engineers of Japan, Jan. 2008, 電気学会論文誌部門誌Ｃ, 128-1, 133-142(1) (1), 133 - 142, Japanese

  [Refereed]

  Scientific journal


• Measuring source code similarity using reference vectors

  Ohno, A., Murao, H.

  Mar. 2007, International Journal of Innovative Computing, Information and Control, 3(3) (3), English

  [Refereed]

  Scientific journal


• Reinforcement Learning Approach for Acquiring Straight-Ahead Running of Electric Wheelchair

  Murai Toshiya, Nagayoshi Masato, Murao Hajime, Tamaki Hisashi

  本稿では，電動車イス使用者の操作負担を軽減するために，1つの入力によって傾斜路面においても電動車いすに直進走行をさせる方式を提案する．ここでは，筆者らが提案する状態フィルタを用いた強化学習手法によって，左右DCモータへの入力電圧が適応的に調節される．さらに，シミュレーションを通して，提案方式の有効性，特に電動車イス使用者の操作負担が軽減されることを確認した．

  The Institute of Systems, Control and Information Engineers, 2007, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, SCI07, 2 - 2, Japanese


• Model-approximated dynamic programming based on decomposable state transition probabilities

  Tsutomu Inamoto, Hisashi Tamaki, Hajime Murao

  2007, PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, 2640 - +, English

  [Refereed]

  International conference proceedings


• Controlling residential co-generation system based on hierarchical decentralized model

  Takuya Matsumoto, Hisashi Tamaki, Hajime Murao

  2007, ETFA 2007: 12TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOLS 1-3, CD-Paper, 612 - 618, English

  [Refereed]

  International conference proceedings


• A Study on State-Space Filter for Reinforcement Learning

  NAGAYOSHI, Masato, MURAO, Hajime, TAMAKI, Hisashi

  Jul. 2006, 電気学会論文誌部門誌Ｃ, 126-7, 832-839, Japanese

  [Refereed]

  Scientific journal


• Acquisition of Elevator Operation Rules by Using Genetics-Based Machine Learning

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  In this paper, we show an approach to acquire a rule which is capable of achieving effective elevator services. The allocation of elevators to hall calls is taken as the decision variable and the Pitt approach of a Genetics-Based Machine Learning (GBML) method is designed according to the representation and the characteristics of the problem. We use a rule architecture in which a combination of some measures is directly encoded as a unit-rule and an elevator allocation procedure is represented as a rule set composed of some unit-rules. Five measures are developed based on the results of the preliminary experiment and it is shown that the rule as the weighted summation of the measures (called WS) is more effective than a conventional elevator allocation rule. In computational experiments, the up-peak, down-peak and two-way traffic patterns are considered and three rule sets are acquired by applying the GBML method. Based on the results, we can confirm that the GBML method can acquire some unit-rules appropriate for the targeting traffic patterns, and we can mention that, for some presumed traffic patterns, the possibility of constructing an effective rule set by combining some specific rule sets.

  The Institute of Electrical Engineers of Japan, Jun. 2006, IEEJ Transactions on Electronics, Information and Systems, Vol. 126, No. 6, pp. 761-770(6) (6), 761 - 770, Japanese

  [Refereed]

  Scientific journal


• Adaptive Acquisition of State Space Filter for Reinforcement Learning in Continuous State and Continuous Action Spaces

  Koyama Yohei, Nagayoshi Masato, Murao Hajime, Tamaki Hisashi

  強化学習は，実用化に際して，状態空間を予め適切に設計することが難しいという点が問題点の一つとなっている．この点に留意し，エージェントへの状態入力と行動学習の間に状態フィルタを定義・導入した計算モデルについての検討を進めており，エントロピーを用いた状態フィルタの一実現法を提案している．本稿では，提案手法について連続行動空間へ適用範囲の拡張を試みる．

  The Institute of Systems, Control and Information Engineers, 2006, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 6, 177 - 177


• Application of a Reinforcement Learning Method considering Construction of State Space to Elevator Operation Problem

  Miki Masaki, Inamoto Tsutomu, Murao Hajime, Tamaki Hisashi

  本研究では，強化学習の適用によるエレベータ運行計画問題の解決を目指し，状態空間の設計を考慮した強化学習法をかご運行順序計画問題へ適用する． 利用者へのかごの割当てと，かごの階床移動順序の2種類の事項を決定変数として強化学習を適用した場合，有効な結果はもちろん解析的な結果も得ることは困難である． そこでまずはかごの階床移動順序のみを決定変数とし，状態空間の設計についての示唆を与え得る強化学習法を適用する．

  The Institute of Systems, Control and Information Engineers, 2006, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, 6, 180 - 180


• Planning and Control of Residential Co-Generation Systems Based on a Hierarchically Decentralized Model

  MATSUMOTO Takuya, TAMAKI Hisashi, MURAO Hajime

  2006, Proc. of the 6th Int. Symp. on Emergent Synthesis (IWES '06), pp. 199-204, English

  [Refereed]

  International conference proceedings


• A state space filter for reinforcement learning in POMDPs - Application to a continuous state space -

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  2006, 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, pp. 6037-6042, 3098 - +, English

  [Refereed]

  International conference proceedings


• A state space filter for reinforcement learning - Concept and a design

  Nagayoshi Masato, Murao Hajime, Tamaki Hisashi

  Institute of Electrical Engineers of Japan, 2006, IEEJ Transactions on Electronics, Information and Systems, 126(7) (7), 832 - 839, English

  [Refereed]

  Scientific journal


• Numerical study on an autonomous decentralized model-based simulation of resources circulation systems

  Takuya Matsumoto, Hisashi Tamaki, Hajime Murao, Shinzo Kitamura

  Institute of Electrical Engineers of Japan, 2006, IEEJ Transactions on Electronics, Information and Systems, 126(7) (7), 888 - 896, English

  [Refereed]

  Scientific journal


• Measuring source code similarity using reference vectors

  Asako Ohno, Hajime Murao

  2006, ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 2, PROCEEDINGS, , 92-95, 92 - +, English

  [Refereed]

  International conference proceedings


• Expressway Traffic Simulation Using Hierarchical Autonomous Decentralized Model

  MATSUMOTO Takuya, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo, MAEDA Kazuo

  Recently, as performance of computers improves, it is possible to simulate larger-scale and more detailed traffic flows. In this paper, a road traffic system is modeled as a hierarchical autonomous decentralized system by constructing three kinds of the model which correspond to roads, vehicles and drivers respectively. By modeling the vehicles and drivers separately, it is possible to consider independently a physical dynamics of the system and issues related to information and decision makings. By comparing the results of simulation using the proposed model with those obtained by the Underwood model, the validity of the proposed model has been confirmed. Moreover, the typical phenomenon in actual traffic flows in sag has been also observed in the simulation. Finally, as an example of the utilization of the simulation model, the effects of the introduction of speed limit on traffic flows have been examined.

  THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), Dec. 2005, Trans. ISCIE, 18 (12), 458-466(12) (12), 458 - 466, Japanese

  [Refereed]

  Scientific journal


• Metaheuristics approach for rule acquisition in flexible shop scheduling problems

  Sakakibara, K., Tamaki, H., Murao, H., Kitamura, S.

  Operations Research/ Computer Science Interfaces Series, Jun. 2005, Operations Research/ Computer Science Interfaces Series, 32, English

  [Refereed]

  Scientific journal


• Evaluation Criteria of a State Space Filter for Reinforcement Learning

  Nagayoshi Masato, Murao Hajime, Tamaki Hisashi, Kitamura Shinzo

  強化学習は，エージェントの制御規則を適応的に調節・獲得する場合などへの応用が盛んであるが，その実用化に際して，状態空間を予め適切に設計することが難しいという点が問題点の一つとなっている．この点に留意し，エージェントへの状態入力と行動学習の間に状態フィルタを定義・導入した計算モデルについての検討を進めており，エントロピーを用いた状態フィルタの一実現法を提案している．本稿では，状態フィルタそのものの評価指標を導入し，それにより提案手法の改良を試みる．そして，計算機実験を通して状態フィルタの比較・検討を行い，状態フィルタの評価指標の妥当性と提案手法の有効性・可能性について検討する．

  The Institute of Systems, Control and Information Engineers, 2005, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, SCI05, 163 - 163


• 資源循環システムのダイナミクスに関する基礎的考察

  松本 卓也, 玉置 久, 村尾 元, 北村 新三

  Kobe University, 2005, 神戸大学大学院自然科学研究科紀要, 23-B, 1-12, 1 - 11, Japanese

  [Refereed]

  Research institution


• モジュール型強化学習における適応的状態空間構成法

  永吉 雅人, 玉置 久, 村尾 元, 北村 新三

  Kobe University, 2005, 神戸大学大学院自然科学研究科紀要, 23-B, 13-20, 13 - 20, Japanese

  [Refereed]

  Research institution


• Dermoscopic image segmentation by a self-organizing map and fuzzy genetic clustering

  H Galda, H Murao, H Tamaki, S Kitamura

  Sep. 2004, IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E87D(9) (9), 2195 - 2203, English

  [Refereed]

  Scientific journal


• A Novel Learning Model from Play-Mode to Learning-Mode

  KOTANI, Takuya, KABURAGI, Makoto, KANG, Min, MURAO, Hajime

  Jul. 2004, Proc. of 5th International Conference on Information Technology Based Higher Education, , 231-234, English

  [Refereed]

  Scientific journal


• Hybrid Solution Based on a Mathematical Model of a Class of Flexible Shop Scheduling Problems

  Hajime Murao

  2004, システム制御情報学会論文誌, Domestic magazine

  Scientific journal


• Reinforcement Learning Methods with a State Space Filter

  Nagayoshi Masato, Murao Hajime, Tamaki Hisashi, Kitamura Shinzo

  Reinforcement learning(RL) attracts attention as a technique of realizing autonomous systems. However, in general, it is not easy to put RL into practical use. This difficulties include the problem of designing a reasonable state space of an agent contains two requirements in trade-off: to reduce the search space as much as possible in order to make a learning process be fast and to keep the characteristics of the search space as much as possible in order to seek better strategies. In this paper, it is considered to satisfy the above requirements. We newly introduced a concept of a "state space filtering". Then, we proposed an acquisition method which is to adjust the search space adaptively by referring to an entropy. The validity and the potential of the proposed method were comfirmed by computational experiments.

  The Institute of Systems, Control and Information Engineers, 2004, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, SCI04, 227 - 227


• 分枝限定法によるエレベータ運行計画問題の静的最適化 -連続時間モデルに基づく分枝限定アルゴリズムの一構成法-

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  神戸大学, 2004, 神戸大学大学院自然科学研究科紀要, Vol. 22-B, pp. 13-20, 13 - 20, Japanese

  [Refereed]

  Scientific journal


• Genetics-Based Machine Learning Approach for Flexible Shop Scheduling Problems: Rule Acquisition for Real-time Scheduling

  SAKAKIBARA Kazutoshi, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  In this paper, we deal with an extended class of flexible shop scheduling problems, and consider a solution under the condition in which information on jobs to be processed may not be given beforehand, i.e., under the framework of real-time scheduling. To realize a solution, we apply such a method where jobs are to be dispatched by applying a set of rules (a rule-set), and propose an approach in which rule-sets are generated and improved by using the genetics-based machine learning technique. Through some computational experiments, the effectiveness and the potential of the proposed approach are investigated.

  Information Processing Society of Japan (IPSJ), 2004, 情報処理学会論文誌(数理モデル化と応用), 45(SIG2),91-98(2) (2), 91 - 98, Japanese

  [Refereed]

  Scientific journal


• Linear Programming Model based Hybrid Approach for Flexible Shop Scheduling Problems

  SAKAKIBARA Kazutoshi, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  2004, システム制御情報学会論文誌, 17, 6, 257-263, Japanese

  [Refereed]

  Scientific journal


• Simulation-based optimization model and metaheuristic solution of multiple crane scheduling problems

  H Tamaki, S Kitamura, H Murao

  2004, 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 1469-1474, 1469 - 1474, English

  [Refereed]

  International conference proceedings


• Optimization Model and Simulation-Based Solution for a Class of Crane Scheduling Problems

  TAMAKI Hisashi, SAKAKIBARA Kazutoshi, MURAO Hajime, KITAMURA Shinzo

  2004, Proceedings of 2004 IEEE Conference on Control Applications, 902-905, English

  [Refereed]

  International conference proceedings


• Numerical Study of a Metaheuristic-Based Solution for Parallel Machine Scheduling with Earliness/Tardiness Penalty

  TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  2004, Proceedings of the 2004 Japan-USA Symposium on Flexible Automation, CD-Paper JL023, English

  [Refereed]

  International conference proceedings


• Composition and Acquisition of Rules for Flexible shorp scheduling Problems

  SAKAKIBARA Kazutoshi, TAMAKI Hisashi, KITAMURA Shinzo, MURAO Hajime

  In this paper, we consider to solve an extended class of flexible shop scheduling problems under the condition that information on jobs to be processed is not given beforehand, i.e., under the framework of real-time scheduling. To find a solution, we apply such a method where jobs are to be dispatched by applying a set of rules (a rule-set), and propose an approach in which rule-sets are generated and improved by using the genetics-based machine learning technique. Through some computational experiments, the effectiveness and the potential of the proposed approach are investigated.

  日本機械学会, 2004, Proceedings of the International Symposium on Scheduling 2004, 174-179, 174 - 179, English

  [Refereed]

  International conference proceedings


• An analysis on the process from "play" to "learning"

  T Kotani, M Kaburagi, M Kang, H Murao

  2004, ITHET 2004: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING, , 231-234, 231 - 234, English

  [Refereed]

  International conference proceedings


• 性淘汰遺伝的アルゴリズムの並列化

  大森 清博, 玉置 久, 村尾 元, 北村 新三, 前川 聡

  2003, 電気学会論文誌（電子・情報・システム部門誌）, 123(11),2020-2027, Japanese

  [Refereed]

  Scientific journal


• A Genetics-Based Machine Learning Approach for Realtime Scheduling

  Kazutoshi Sakakibara, Hisashi Tamaki, Hajime Murao, Shinzo Kitamura, Toshiharu Iwatani, Kouichi Matsuda

  2003, IEEJ Transactions on Electronics, Information and Systems, 123(4) (4), 823 - 831, English

  [Refereed]

  Scientific journal


• エレベータ運行計画最適化のためのルールの設計と獲得

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  (社)電気学会, 2003, 平成15年電気学会電子・情報・システム部門大会講演論文誌, Japanese

  Symposium


• Skin Image Segmentation Using a Self-Organizing Map and Genetic Algorithms

  Harald Galda, Hisashi Tamaki, Shinzo Kitamura, Hajime Murao

  2003, IEEJ Transactions on Electronics, Information and Systems, 123(11) (11), 2056 - 2062, English

  [Refereed]

  Scientific journal


• Simulation-based study on resources circulation systems - An autonomous decentralized model and agent-based simulation

  T Matsumoto, H Tamaki, H Murao, S Kitamura

  2003, 2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS, 1387-1392, 1387 - 1392, English

  [Refereed]

  International conference proceedings


• Rule acquisition for production scheduling - A genetics-based machine learning approach to flexible shop scheduling

  H Tamaki, K Sakakibara, H Murao, S Kitamura

  2003, SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 252-257, 2762 - 2767, English

  [Refereed]

  International conference proceedings


• Metaheuristics Approach for Rule Acquisition in Flexible Shop Scheduling Problems

  SAKAKIBARA Kazutoshi, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  2003, Proc. of the 4th Metaheuristics International Conference, CD-Paper, English

  [Refereed]

  International conference proceedings


• Application of reinforcement learning to RC helicopter control

  H Murao, H Tamaki, S Kitamura

  2003, SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 3182-3185, 2306 - 2309, English

  [Refereed]

  International conference proceedings


• A heuristic-based hybrid solution for parallel machine scheduling problems with earliness and tardiness penalties

  H Tamaki, H Murao, S Kitamura

  2003, ETFA 2003: IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 2, PROCEEDINGS, 239-244, 239 - 244, English

  [Refereed]

  International conference proceedings


• Deterministic Optimization Model of Elevetor Operation Problems and An Application of Branch-and-Bound Method

  Tsutomu Inamofco, Hisashi Tamaki, Hajime Murao, Shinzo Kitamura

  2003, IEEJ Transactions on Electronics, Information and Systems, 123(7) (7), 1334 - 1340, English

  [Refereed]

  Scientific journal


• A modular reinforcement learning with adaptive module acquisition

  MURAO, Hajime, TAMAKI, Hisashi, KITAMURA, Shinzo

  Oct. 2002, Proc. of 2002 IEEE Int. Conf. on Systems, Man and Cybernetics(SMC'02),, 2, 電子出版(MP1F3), English

  [Refereed]

  International conference proceedings


• Adaptive state acuisition in modular reinforcement learning

  MURAO, Hajime, TAMAKI, Hisashi, KITAMURA, Shinzo

  May 2002, Proc. of the 4th Int. Workshop on Emergent Synthesis (IWES'02),, , 41-46, English

  [Refereed]

  International conference proceedings


• A Co-evolutionary Genetic Algorithm for finding Solution Candidates and Their Genetic Expressions

  MURAO, Hajime, YAMAMOTO, Akio, TAMAKI, Hisashi, KITAMURA, Shinzo

  This paper introduces a co-evolutionary approach to Genetic Algorithms (GAs) for exploring not only solution candidates but also their genetic expressions. Two GAs cooperate each other; one explores the arrangement of genes while the other explores the attributes of genes. The genetic expression of a solution candidate is determined by a couple of individuals from the two GAs, therefore it is not modified directly but modified through genetic operations on the individuals. This improves the intrinsic difficulty of GAs that the genetic expressions of solution candidates should be determined beforehand so that unknown better schemata will have the shorter expressions. According to the schemata theorem, the shorter expressions are rather robust to the destruction by the genetic operations and will cause an exponentially increasing number of the solution candidates containing the schemata with the short expressions in successive generations. Two typical ways of determining genetic expressions of the solution candidates from the arrangement and the attributes of genes are formalized and discussed in terms of the length of the expressions for the schemata. They are applied to the 3-bit deceptive problems introduced by D.E. Goldberg which are well-known by that the efficiency of the genetic expression can be controlled by the fitness evaluation procedure. As a result of computer simulations, the proposed method showed a better performance than the simple GA. The efficiency of the proposed method, especially from the view point of adaptive search of the genetic expression, is also discussed.

  The Society of Instrument and Control Engineers, Feb. 2002, 計測自動制御学会論文集, 38-2, 193-200(2) (2), 193 - 200, Japanese

  [Refereed]

  Scientific journal


• Modeling and meta-heuristic solution for flexible shop scheduling

  Hisashi Tamaki, Kazutoshi Sakakibara, Hajime Murao, Shinzo Kitamura

  IFAC Secretariat, 2002, IFAC Proceedings Volumes (IFAC-PapersOnline), 15(1) (1), 31 - 36, English

  International conference proceedings


• Application of self-organizing maps to the segmentation of color images

  Galda, H., Murao, H., Tamaki, H., Kitamura, S.

  2002, Memoirs of the Faculty of Engineering, Kobe University, 49

  Scientific journal


• Application of self-organizing maps to the segmentation of color images

  Galda, H., Murao, H., Tamaki, H., Kitamura, S.

  2002, Memoirs of the Faculty of Engineering, Kobe University, 49

  Scientific journal


• Toward a real-time scheduling for a class of flexible shop problems

  K Sakakibara, H Tamaki, H Murao, S Kitamura

  2002, SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 1372 - 1377, English

  [Refereed]

  International conference proceedings


• An application of branch-and-bound method to deterministic optimization model of elevator operation problems

  T Inamoto, H Tamaki, H Murao, S Kitamura

  2002, SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, 987 - 992, English

  [Refereed]

  International conference proceedings


• Decision-making strategies for decentralized production planning and scheduling

  H Tamaki, H Murao, S Kitamura

  2002, ISIE 2002: PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-4, 1352 - 1357, English

  [Refereed]

  International conference proceedings


• Walking pattern acquisition for quadruped robot by using modular reinforcement learning

  H Murao, H Tamaki, S Kitamura

  2002, 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, , 1402-1405, 1402 - 1405, English

  [Refereed]

  International conference proceedings


• A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithms

  H Murao, H Tamaki, S Kitamura

  2002, CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, , 1612-1617, 1612 - 1617, English

  [Refereed]

  International conference proceedings


• Realizing the quadruped robot walking by using reinforcement learning

  H Murao, H Tamaki, S Kitamura

  2002, 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVII, PROCEEDINGS, 17, 電子出版, 240 - 243, English

  [Refereed]

  International conference proceedings


• Walking pattern acquisition for quadruped robot by using modular reinforcement learning

  H Murao, H Tamaki, S Kitamura

  2002, 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5, , 227-235, 1402 - 1405, English

  International conference proceedings


• A coevolutionary approach to adapt the genotype-phenotype map in genetic algorithms

  H Murao, H Tamaki, S Kitamura

  2002, CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 6-4, 221-227, 1612 - 1617, English

  [Refereed]

  International conference proceedings


• Acquisition of the internal state space of learning agents as a representation of the environment

  MURAO, Hajime, KITAMURA, Shinzo

  Aug. 2001, Proc. of the 4th World Muticonference on Systemics, Cybernetics, and Informatics (SCI2001/ISAS2001),, 3, 282-287, English

  [Refereed]

  International conference proceedings


• Realizing the laws of evolutionary design

  MURAO, Hajime, KRYSSANOV, Victor, TAMAKI, Hisashi, KITAMURA, Shinzo

  Jun. 2001, Proc. of the 2001 Int. CIRP Design Seminar, , 169-174, English

  [Refereed]

  International conference proceedings


• A coevolutionary approach to relax difficulty in determining the genotype-phenotype map in genetic algorithms

  MURAO, Hajime, TAMAKI, Hisashi, KITAMURA, Shinzo

  Mar. 2001, Proc. of the 3rd Int. Workshop on Emergent Synthesis (IWES'01), , 51-56, English

  [Refereed]

  International conference proceedings


• Walking pattern acquisition for quadruped robot by using modular reinforcement learning

  Hajime Murao, Hisashi Tamaki, Shinzo Kitamura

  2001, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 3, 1402 - 1405, English

  International conference proceedings


• A coevolutionary approach to adaptive encoding for genetic algorithms

  MURAO, Hajime, YAMAMOTO, Akio, TAMAKI, Hisashi, KITAMURA, Shinzo

  Jan. 2001, Proc. of the Sixth Int. Symp. on Artificial Life and Robotics (AROB 6th'01), , 164-167, English

  [Refereed]

  International conference proceedings


• Modeling and genetic solution of a class of flexible job shop scheduling problems

  H Tamaki, T Ono, H Murao, S Kitamura

  2001, ETFA 2001: 8TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 2, PROCEEDINGS, , 343-350, 343 - 350, English

  [Refereed]

  International conference proceedings


• Building up embodiment in learning agents using a gaussian radial basis function neural network

  MURAO, Hajime, KITAMURA, Shinzo

  Dec. 2000, J. of Robotics and Mechatronics, 12-6, 656-663, English

  [Refereed]

  Scientific journal


• Evolution of learning in neural networks as a coordinated behavior of neuron-level learning rules

  MURAO, Hajime, KITAMURA, Shinzo

  Oct. 2000, Proc. of the 7th Int. Conf. on Neural Information Processing (NIPS-2000), , 744-749, English

  [Refereed]

  International conference proceedings


• Building up embodiment in learning agents

  MURAO, Hajime, KITAMURA, Shinzo

  Sep. 2000, Proc. Supplement of the Sixth Int. Conf. on Simulation of Adaptive Bhavior (SAB2000), , 170-177, English

  [Refereed]

  International conference proceedings


• A Design Method as Inverse Problems and Application of Emergent Computations

  KITAMURA, Shinzo, KAKUTA, Yuzuru, MURAO, Hajime, GOTO, Jun, KOYABU, Masaya

  計測自動制御学会, Jan. 2000, 計測自動制御学会論文集, 36-1, 90-97(1) (1), 90 - 97, Japanese

  [Refereed]

  Scientific journal


• Designing a pattern generator for a walking robot by modeling the human creative process

  INAMOTO, Tsutomu, MURAO, Hajime, KRYSSANOV, Victor, KUREMATSU, Yasuo, KITAMURA, Shinzo

  Jan. 2000, Proc. of the Fifth Int. Symp. on Artificial Life and Robotics (AROB 5th'00), , 809-812, English

  [Refereed]

  International conference proceedings


• Pheromone based transportation scheduling system for the multi-vehicle routing problem

  MURAO, Hajime, TOHMATA, Kousuke, KONISHI, Masami, KITAMURA, Shinzo

  1999, Proc. of 1999 IEEE Int. Conf. on Systems, Man and Cybernetics (SMC'99), 4, 430-434, 952 - 957, English

  [Refereed]

  International conference proceedings


• Internal state acquisition for reinforcement learning agent by using radial basis function neural network

  MURAO, Hajime, KITAMURA, Shinzo

  Jan. 1999, Proc. of the Fourth Int. Symp. on Artificial Life and Robotics (AROB 4th'99), , 287-290, English

  [Refereed]

  International conference proceedings


• An approach to the emergent design of artificial systems

  KITAMURA, Shinzo, MURAO, Hajime

  Oct. 1998, The 8th Japanese-German Seminar on Nonlinear Problems in Dynamical Systems -Theory and Applications-, , 199-207, English

  International conference proceedings


• Applications of emergent synthesis to linear passive filters and multi-link moving robots

  MURAO, Hajime, KITAMURA, Shinzo

  Mar. 1998, Proc. of Workshop on the Methodology of Emergent Synthsis (WMES'98), , 81-84, 81 - 84, English

  [Refereed]

  International conference proceedings


• Incremental quantization of the continuous sensor space for learning agents

  H Murao, S Kitamura

  1998, INTELLIGENT AUTONOMOUS SYSTEMS, 272 - 279, English

  [Refereed]

  International conference proceedings


• An adaptive state space design for reinforcement learning

  MURAO, Hajime, KITAMURA, Shinzo

  Jan. 1998, Proc. of the Third Int. Symp. on Artificial Life and Robotics (AROB III'98),, , 85-88, 251 - 255, English

  [Refereed]

  International conference proceedings


• Online scheduling of a multi-robot system by using genetic algorithms

  H Murao, S Kitamura

  1998, IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 98) - PROCEEDINGS, VOLS 1 AND 2, , 720-725, 709 - 713, English

  [Refereed]

  International conference proceedings


• Incremental state acquisition for Q-learning by adaptive gaussian soft-max neural network

  H Murao, S Kitamura

  1998, JOINT CONFERENCE ON THE SCIENCE AND TECHNOLOGY OF INTELLIGENT SYSTEMS, , 465-470, 465 - 470, English

  [Refereed]

  International conference proceedings


• Q-learning with adaptive state space construction

  MURAO, Hajime, KITAMURA, Shinzo

  Aug. 1997, Proc. of the 6th European Workshop on Learning Robots (EWLR-6),, , 4-13, English

  [Refereed]

  International conference proceedings


• QLASS: an enhancement of Q-learning to generate state space adaptively.

  MURAO, Hajime, KITAMURA, Shinzo

  Aug. 1997, Proc. of the Fourth European Conf. on Artificial Life(ECAL97), , 電子出版, English

  [Refereed]

  International conference proceedings


• Emergence of Learning Rule in Neural Networks Composed of Locally Defined Learning Modules

  MURAO, Hajime, KITAMURA, Shinzo

  電気学会, Jul. 1997, 電気学会論文誌部門誌Ｃ, 117-7, 881-887(7) (7), 881 - 887, Japanese

  [Refereed]

  Scientific journal


• Evolution of locally defined learning rules and their coordination in feedforward neural networks

  MURAO, Hajime, KITAMURA, Shinzo

  1997, Artificial Life and Robotics, 1-2, 89-94, English

  [Refereed]

  Scientific journal


• Q-Learning with adaptive state segmentation (QLASS)

  H Murao, S Kitamura

  1997, 1997 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION - CIRA '97, PROCEEDINGS, , 179-184, 179 - 184, English

  [Refereed]

  International conference proceedings


• Evolution of learning rules in feedforward neural networks

  MURAO, Hajime, KITAMURA, Shinzo

  Sep. 1996, The 7th German-Japanese Seminar on Nonlinear Problems in Dynamical Systems -Theory and Applications-, , 129-139, English

  International conference proceedings


• Evolution of locally defined learning rules and their coordination in feedforward neural networks

  MURAO, Hajime, KITAMURA, Shinzo

  Feb. 1996, Proc. of Int. Symp. on Artificial Life and Robotics (AROB) 1st, , 183-186, 183 - 186, English

  [Refereed]

  International conference proceedings

• Supercomputer Fugaku Is Still Evolving

  Hajime MURAO, Nonoka KIDO, Yuki SHIMOMURA, Naoya MISHIMA

  Lead, Institute of Electrical Engineers of Japan (IEE Japan), 01 Apr. 2025, The Journal of The Institute of Electrical Engineers of Japan, 145(4) (4), 176 - 179, Japanese


• DX in Kobe University

  村尾 元

  Mar. 2024, Cybermedia Forum, (24) (24), 13 - 16, Japanese

  Introduction research institution


• A study on the effect of audio biofeedback on engagement level

  張 帆, 村尾 元

  システム制御情報学会, 23 May 2017, システム制御情報学会研究発表講演会講演論文集, 61, 4p, Japanese


• The adaptive co-construction method which gives rise to interactions between state and action spaces in reinforcement learning

  永吉 雅人, 村尾 元, 玉置 久

  電気学会, 24 Nov. 2013, 電気学会研究会資料. ST, 2013(116) (116), 35 - 39, Japanese


• Reinforcement learning taking account a timing of the appearance of environmental changes

  永吉 雅人, 村尾 元, 玉置 久

  電気学会, 31 May 2013, 電気学会研究会資料. ST, 2013(12) (12), 1 - 6, Japanese


• Reinforcement learning in a slowly changing environment

  永吉 雅人, 村尾 元, 玉置 久

  電気学会, 01 Dec. 2012, 電気学会研究会資料. ST, 2012(11) (11), 7 - 12, Japanese


• Study on human behavior recognition using discrete HMM and continuous HMM

  Su Yancong, Murao Hajime

  ICIC International, Mar. 2012, ICIC Express Letters, 6(3) (3), 791 - 796, English


• An author identification of in-class source codes by using the forward-backward coding models

  Ohno Asako, Murao Hajime

  ICIC International, Apr. 2011, ICIC express letters Part B Applications, 2(2) (2), 453 - 458, English


• A Preliminary Study on a Divide-and-Conquer Approach to Acquire Polysemous Rule Sets for Job-shop Scheduling Problems

  Inamoto Tsutomu, Matsumoto Takuya, Ohta Chikara, Tamaki Hisashi, Murao Hajime

  本稿では，ジョブショップスケジューリング問題のための多義的ルールベースの獲得効率の向上を目的として考案した分割統治的アプローチおよびその計算結果を示す． このアプローチは，問題を仕事に関して分割し，各部分問題を対象として個別に獲得したルールベースを統合したルールベースに基づいて原問題のルールベースの獲得を図るという素朴なものである． 計算例として，このアプローチのあるベンチマーク問題への適用結果を示す．

  The Institute of Systems, Control and Information Engineers, 2010, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, SCI10, 169 - 169, Japanese


• Solving a timetable problem using distributed genetic algorithm

  Su Yancong, Namba Michihiro, Murao Hajime

  ICIC International, Dec. 2009, ICIC Express Letters, 3(4) (4), 1055 - 1060, English


• 並列化実装した動的計画法による最適なエレベータ運行ルールの計算

  稲元 勉, 太田 能, 玉置 久, 村尾 元

  10 Mar. 2009, 全国大会講演論文集, 71(0) (0), 273 - 274, Japanese


• POMDPsでの強化学習における状態フィルタ—A state space filter for reinforcement learning in partially observable Markov decision processes

  永吉 雅人, 村尾 元, 玉置 久

  計測自動制御学会, Jan. 2009, 計測自動制御学会論文集 = Transactions of the Society of Instrument and Control Engineers, 45(1) (1), 41 - 50, Japanese


• A Study on An Acquisition Method for Action-Less Rule Sets by means of Its Application to Job-shop Scheduling Problems

  Inamoto Tsutomu, Matsumoto Takuya, Ohta Chikara, Tamaki Hisashi, Murao Hajime

  本稿では，後件部を持たない単位ルールからなるルールベース獲得手法の初等的な調査結果を報告する．このルールベースはエレベータ運行計画問題を対象として考案したものであり，ある時点でとることが可能な各決定に関して所与の指標を計算し，その組合せと適合する単位ルールがルールベースに含まれる場合に，対応する決定を選択する．含まれない場合，何らかのデフォルトルールにしたがって決定を選択する．このような設計から，決定が離散的であるさまざまなリアクティブスケジューリング問題へ適用できると考えられる．その一例としてジョブショップスケジューリング問題をとりあげ，獲得されるルールの有効性などを調査する．

  The Institute of Systems, Control and Information Engineers, 2009, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, SCI09, 173 - 173


• 3A2 AN APPROACH USING GENETICS-BASED MACHINE LEARNING TO COMPLEMENTING LEGACY RULES FOR THE ELEVATOR OPERATION :

  Inamoto Tsutomu, Ohta Chikara, Tamaki Hisashi, Murao Hajime

  In this paper, an approach using a Genetic-Based Machine Learning (GBML) method to acquire rule sets which complement legacy rules for the elevator operation is shown. A rule set is designed to be comprised of unit-rules, each of which encodes an elevator's augmented attribute vector and matches an arbitrary elevator which has such attributes. The GBML method is built in the Pittsburgh-style and tailored for acquiring such rules sets. In computer illustrations, the effectiveness of acquired rule sets is displayed as for three traffic patterns.

  日本機械学会, 2009, Proceedings of International Symposium on Scheduling, 2009, 127 - 132, English


• One button control of electric wheelchair using reinforcement learning

  永吉 雅人, 村尾 元, 玉置 久

  人工知能学会, 20 Nov. 2008, 知識ベ-スシステム研究会, 83, 37 - 42, Japanese


• Driver's Decision Making in Expressway Traffic Simulation Using a Hierarchical Autonomous Decentralized Model

  MATSUMOTO Takuya, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo, MAEDA Kazuo

  26 Jan. 2006, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 18, 295 - 298, Japanese


• Simulation-Based Optimization Approach for Crane Scheduling Problems

  TAMAKI Hisashi

  01 Mar. 2004, 材料とプロセス : 日本鉄鋼協会講演論文集 = Current advances in materials and processes : report of the ISIJ meeting, 17(2) (2), 177 - 177, Japanese


• A Fundamental Study on the Emergent Systems Theory

  KITAMURA, Shinzo, MURAO, Hajime

  Apr. 2002, TELECOM FRONTIER(SCAT TECHNICAL JOURNAL), 34, 30-40, Japanese

  Report scientific journal


• Emergence of Structure and Behaviour of Wheeled Robots by Genetic Algorithms

  MIWA Hiroshi, MURAO Hajime, TAMAKI Hisashi, KITAMURA Shinzo

  28 Mar. 2002, 知能システムシンポジウム資料, 29, 189 - 194, Japanese


• 複数基準による電気回路の設計への遺伝的プログラミングの適用

  村尾 元, 玉置 久, 北村 新三

  01 Mar. 2002, 精密工学会大会学術講演会講演論文集, 2002(1) (1), 163 - 163, Japanese


• Comparative Study on Adaptive State Space Construction Methods for Reinforcement Learning using RBF Neural Network

  OHTANI Yoshihiro, MURAO Hajime, TAMAKI Hisashi, KITAMURA Shinzo

  25 Jan. 2002, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 14, 159 - 163, Japanese


• A study on emargence of communication with the reinforcement learning

  KOJIMA Hideo, MURAO Hajime, TAMAKI Hisashi, KITAMURA Shinzo

  25 Jan. 2002, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 14, 19 - 22, Japanese


• 3-A-2 MATHEMATICAL MODELING AND HYBRID SOLUTION FOR A CLASS OF FLEXIBLE SHOP SCHEDULING PROBLEMS :

  Sakakibara Kazutoshi, Tamaki Hisashi, Murao Hajime, Kitamura Shinzo

  In this paper, we consider an extended class of flexible shop scheduling problems. First, we translate the problem into a mathematical programming formula, i.e., a mixed-integer programming problem. This makes it possible to apply standard packages of mixed integer programming solvers, and while lots of computational time is required in general, to obtain the optimal schedule. Then, in order to seek such schedules as close to the optimal, we compose a hybrid approach in which an integer programming method and a genetic algorithm are combined. Through some computational experiments, the effectiveness and the potential of the proposed approach are examined.

  日本機械学会, 2002, Proceedings of International Symposium on Scheduling, 2002, 93 - 96, English


• 工学的問題解決のための創発的計算法の構成

  玉置 久, 村尾 元, 稲元 勉, 北村 新三

  01 Sep. 2001, 精密工学会大会学術講演会講演論文集, 2001(2) (2), 5 - 5, Japanese


• Formulation of the modular reinforcement learning for performance comparison

  KAMITSUJI Takahiko, MURAO Hajime, KITAMURA Shinzo

  21 Jan. 2000, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 12, 227 - 230, Japanese


• Evolutionary Design of Linear Passive Filter Circuits

  IWAKAMI Masaya, MURAO Hajime, KITAMURA Shinzo

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 125 - 128, Japanese


• Extracting Common Knowledge for Emergent Design from Evolutionary Processes of Genetic Algorithm

  SUGIMOTO Miho, MURAO Hajime, KITAMURA Shinzo

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 101 - 104, Japanese


• Evolutionary Design of Controllers for H_∞ Mixed Sensitivity Problems

  AOKI Masaharu, MURAO Hajime, KITAMURA Shinzo

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 121 - 124, Japanese


• A Reinforcement Learning with Reward Sharing for Cooperative Behavior

  TANAKA Akifumi, MURAO Hajime, KITAMURA Shinzo

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 283 - 286, Japanese


• A method of Scheduling by using Classifier System and its application to the Hot Strip Mill System

  KEMI Shinya, MURAO Hajime, KITAMURA Shinzo, KONISHI Masami, OTSUKA Yoshihisa, MATSUDA Kouichi

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 167 - 170, Japanese


• Evolutionary Design of 2-Dimensional Multi-link Moving Robots

  GOTOH Jun, MURAO Hajime, KITAMURA Shinzo

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 295 - 298, Japanese


• Evolution of Communication in a Two-dimensional Traffic-flow Model

  KITA Ryohei, MURAO Hajime, KITAMURA Shinzo

  20 Jan. 1998, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 10, 317 - 320, Japanese


• Automated Design for Electric Circuits using Genetic Algorithm

  KOYABU Masaya, MURAO Hajime, KITAMURA Shinzo

  18 Mar. 1997, 知能システムシンポジウム資料, 24, 117 - 122, Japanese


• A Genetic Algorithm with mutation operated by Q-learning

  SUGIMOTO Miho, MURAO Hajime, KITAMURA Shinzo

  18 Mar. 1997, 知能システムシンポジウム資料, 24, 29 - 32, Japanese


• Adaptive State Segmentation for Q-learning

  MURAO Hajime, KITAGAWA Iku, KITAMURA Shinzo

  18 Mar. 1997, 知能システムシンポジウム資料, 24, 45 - 48, Japanese


• Evolution of Driving Technique in an One-dimensional Traffic-flow Model

  KITA Ryohei, MURAO Hajime, KITAMURA Shinzo

  22 Mar. 1996, 知能システムシンポジウム資料, 23, 47 - 52, Japanese


• Evolution of State Transition Rules in Cellular Automata Model and Application to Conveyance System

  AOKI Masaharu, MUTOH Takeshi, MURAO Hajime, KITAMURA Shinzo

  22 Mar. 1996, 知能システムシンポジウム資料, 23, 25 - 30, Japanese


• How the immune network maintains a variety of antibodies

  IWAKAMI M., MURAO H., KITAMURA S.

  17 Jan. 1996, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 8, 219 - 222, Japanese


• Construction of Eco-System Model using Sex-Change Strategy

  KOYABU M., MURAO H., KITAMURA S.

  17 Jan. 1996, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 8, 213 - 218, Japanese


• Evolution of Locally Defined Learning Rules and Their Coordination in 3-Layered Neural Networks

  MURAO Hajime, KITAMURA Shinzo

  17 Jan. 1996, 自律分散システム・シンポジウム資料 = SICE Symposium on Decentralized Autonomous Systems, 8, 11 - 16, Japanese

• D2 Discovering and Designing VALUE 価値の創造を考える2024

  神戸大学V., School編

  Contributor, Chapter 2-3 怪物的な人工物との付き合い方, 神戸大学出版会 / 神戸新聞総合出版センター, Mar. 2026, ISBN: 9784909364425


• データサイエンスの考え方：社会に役立つAI×データ活用のために

  Joint work, 第12章, オーム社, Nov. 2021


• Metaheuristics approach for rule acquisition in flexible shop scheduling problems

  SAKAKIBARA, Kazutoshi, TAMAKI, Hisashi, MURAO, Hajime, KITAMURA, Shinzo

  Joint work, Metaheuristics: Progress as Real Problem Solvers, 2005, English

  Scholarly book


• Knowledge-based Intelligent Information Engineering Systems & Allied Technologies (KES'2001),

  BABA, Norio, JAIN, HOWLETT, MURAO, Hajime

  Joint work, IOSPress, 2001, English

  Scholarly book


• Learning Robots, Volume 1545 of Lecture Notes in Artificial Intelligence

  ANDREAS, Birk, JOHN, Demiris, MURAO, Hajime

  Joint work, Springer-Verlag, Dec. 1998, English

  Scholarly book


• Intelligent Autonomous Systems IAS-5

  KAKAZU, Yukinori, WADA, Mitsuo, TAKASHI, Sato, MURAO, Hajime

  Joint work, IOSPress, 1998, English

  Scholarly book

• Measuring Sentence Similarity for Text Simplification: Idetifying Effective Metrics

  Eri Maekawa, Hajime Murao

  The 17th International Conference on Innovative Computing, Information and Control, Aug. 2023, English

  Oral presentation


• The Comparison of Word Embeddings and Feature Vectors in Text Classification by Difficulty Level

  Eri Maekawa, Hajime Murao

  The 15th International Conference on Innovative Computing, Information and Control, Sep. 2021, English

  Oral presentation


• 日本語の難易度に関する特徴分析

  前川 絵吏, 村尾 元

  言語処理学会 第27回年次大会, Mar. 2021, Japanese

  Oral presentation


• 強化学習における状態空間と行動空間の適応的共構成法:二次元連続行動空間への適用

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi

  第55回システム制御情報学会研究発表講演会, May 2011, Japanese, システム制御情報学会, 大阪市, Domestic conference

  Oral presentation


• Acquiring Approval Voting Polysemous Rule Sets for Elevator Operation Problems by Genetics-Based Machine Learning

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  SICE Symposium on Systems and Information 2011, May 2011, Japanese, システム制御情報学会, 大阪, Domestic conference

  Oral presentation


• A Preliminary Study on Effects by Adopting Majority Rule to a Genetics-Based Machine Learning Method based on Polysemous Rules

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  SICE Symposium on Systems and Information 2010, Nov. 2010, Japanese, 計測自動制御学会, 京都, Domestic conference

  Oral presentation


• 強化学習における状態空間と行動空間の適応的共構成に関する試み

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi

  計測自動制御学会システム・情報部門学術講演会2010, Nov. 2010, Japanese, 計測自動制御学会システム・情報部門, 京都市, Domestic conference

  Oral presentation


• 連続行動空間への適用を考慮したSwitching 強化学習の状態空間構成に関する一考察

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi

  平成22年電気学会電子・情報・システム部門大会, Sep. 2010, Japanese, 電気学会, 熊本市, Domestic conference

  Oral presentation


• 連続行動空間への適用を考慮した Switching 強化学習:二次元連続行動空間への適用

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi

  第54回システム制御情報学会研究発表講演会, May 2010, Japanese, システム制御情報学会, 京都市, Domestic conference

  Oral presentation


• A Preliminary Study on a Divide-and-Conquer Approach to Acquiring Polysemous Rule Sets for Job-shop Scheduling Problems

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  54th Annual Conference of The Institute of Systems, Control and Information Engineers, May 2010, Japanese, システム制御情報学会, 京都, Domestic conference

  Oral presentation


• A Preliminary Application of a Knowledge Discovery Method based on Action-Less Rule Sets

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  52nd Japan Joint Automatic Control Conference, Nov. 2009, Japanese, 大阪, Domestic conference

  Oral presentation


• An Approach Using Genetics-Based Machine Learning to Complementing Legacy Rules for the Elevator Operation

  INAMOTO Tsutomu, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  International Symposium on Scheduling 2009, Jul. 2009, English, 機械学会, スケジューリング学会, Nagoya, Domestic conference

  Oral presentation


• A Study on An Acquisition Method for Action-Less Rule Sets by Its Application to Job-shop Scheduling Problems

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  53rd Annual Conference of The Institute of Systems, Control and Information Engineers, May 2009, Japanese, システム制御情報学会, 神戸(とりやめ), Domestic conference

  Oral presentation


• 並列化実装した動的計画法による最適なエレベータ運行ルールの計算

  稲元 勉, 松本 卓也, 太田 能, 玉置 久, 村尾 元

  情報処理学会第71回全国大会講演論文集, Mar. 2009, Japanese, 情報処理学会, 草津市, Domestic conference

  Oral presentation


• 適応度評価が例題に基づく遺伝的機械学習手法のサンプリングによる効率化技法

  稲元 勉, 太田 能, 玉置 久, 村尾 元

  第36回知能システムシンポジウム資料, Mar. 2009, Japanese, 計測自動制御学会, 京都市, Domestic conference

  Oral presentation


• A Sampling-based Technique to Improving Efficiency of a Genetics-Based Machine Learning Method with Fitness Evaluation based on Problem Instances

  INAMOTO Tsutomu, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  36th SICE Symposium on Intelligent Systems, Mar. 2009, Japanese, 計測自動制御学会, 京都, Domestic conference

  Oral presentation


• Computations of Optimal Elevator Operation Rules by a Parallel Implementation of a Dynamic Programming Method

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  情報処理学会第71回全国大会, Jan. 2009, Japanese, 情報処理学会, 滋賀, Domestic conference

  Oral presentation


• Acquisition of Elevator Operation Rule-Bases Using Genetics-Based Machine Learning Considering Rule Independence

  INAMOTO Tsutomu, MATSUMOTO Takuya, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  進化計算シンポジウム2008, Dec. 2008, Japanese, 北海道, Domestic conference

  Oral presentation


• Parallelizing Computation of Reachable Sets of Stochastic Discrete Event Systems Exhibiting Imbalanced State Transitions

  INAMOTO Tsutomu, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  SICE Symposium on Systems and Information 2008, Nov. 2008, Japanese, 計測自動制御学会, 兵庫, Domestic conference

  Oral presentation


• A Parallel Computation of Reachable Sets of Elevator Systems by Distributing States by a Simple Method

  INAMOTO Tsutomu, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  平成20年度情報処理学会関西支部 支部大会, Oct. 2008, Japanese, 情報処理学会, 京都, Domestic conference

  Oral presentation


• Decreasing Computational Cost of Dynamic Programmings for Binary Coded Models by Algebraically Localizing State Transition Functions

  INAMOTO Tsutomu, OHTA Chikara, TAMAKI Hisashi, MURAO Hajime

  2008 Electronics, Information and Systems Conference, Electronics, Information and Systems Society of Japan, Aug. 2008, Japanese, 電気学会, 北海道, Domestic conference

  Oral presentation


• Improving Efficiency of Dynamic Programming for Elevator Operation

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  2007 Electronics, Information and Systems Conference, Electronics, Information and Systems Society of Japan, Sep. 2007, Japanese, 電気学会, 大阪, Domestic conference

  Oral presentation


• Model-Approximated Dynamic Programming based on Decomposable State Transition Probabilities

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  SICE Annual Conference 2007, Sep. 2007, English, 計測自動制御学会, Kagawa, Domestic conference

  Oral presentation


• A Binary Formalization Approach for State Transition Probabilities of Discrete Systems and Its Application to Elevator Operation Problems

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  第13回創発システムシンポジウム, Aug. 2007, Japanese, 計測自動制御学会, 富山, Domestic conference

  Poster presentation


• An Approach to Elevator Operation Problems based on State Transition Probabilities by using of Simulation Model with Explicitly Formalized State Transition Equation

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  SICE Symposium on Systems and Information 2006, Nov. 2006, Japanese, 計測自動制御学会, 茨城, Domestic conference

  Oral presentation


• An Approach to Elevator Operation Problems based on State Transition Probabilities by using of Simulation Model with Explicitly Formalized State Transition Equation

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  49th Japan Joint Automatic Control Conference, Nov. 2006, Japanese, 神戸, Domestic conference

  Oral presentation


• POMDPｓでの強化学習における状態フィルタ：離散状態と連続状態への適用

  Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  平成18年電気学会電子・情報・システム部門大会, Sep. 2006, Japanese, Domestic conference

  Oral presentation


• 連続状態・行動空間での強化学習における状態フィルタの適応的獲得

  Yohei Koyama, Masato Nagayoshi, Hajime Murao, Hisashi Tamaki

  第50回システム制御情報学会研究発表講演会, May 2006, Japanese, Domestic conference

  Oral presentation


• エレベータ運行計画問題に対する状態空間の設計を考慮した強化学習の適用

  Masaki Miki, Tsutomu Inamoto, Hajime Murao, Hisashi Tamaki

  第50回システム制御情報学会研究発表講演会, May 2006, Japanese, Domestic conference

  Oral presentation


• A Reinforcement Learning Approach to Elevator Operation Problems based on a Simplified State Space Representation

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime

  33rd SICE Symposium on Intelligent Systems, Mar. 2006, Japanese, 計測自動制御学会, 茨城, Domestic conference

  Oral presentation


• 階層型自律分散モデルを用いた高速道路シミュレーションにおける運転者の意思決定

  MATSUMOTO Takuya, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo, MAEDA Kazuo

  第18回自律分散システム・シンポジウム, Jan. 2006, Japanese, 計測自動制御学会, 福井, Domestic conference

  Oral presentation


• 強化学習における状態フィルタ：冗長な入力情報を含む連続状態空間への適用

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi, KITAMURA Shinzo

  平成17年電気学会電子・情報・システム部門大会, Aug. 2005, Japanese, 電気学会, 福岡, Domestic conference

  Oral presentation


• 遺伝的機械学習によるエレベータ運行ルールの獲得手法

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  第11回創発システムシンポジウム, Aug. 2005, Japanese, 計測自動制御学会, 富山, Domestic conference

  Poster presentation


• 高速道路交通シミュレーションの階層型自律分散モデル

  MATSUMOTO Takuya, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo, MAEDA Kazuo

  第49回システム制御情報学会研究発表講演会, May 2005, Japanese, システム制御情報学会, 京都, Domestic conference

  Oral presentation


• 強化学習における状態フィルタの評価指標

  NAGAYOSHI Masato, MURAO Hajime, TAMAKI Hisashi, KITAMURA Shinzo

  第49回システム制御情報学会研究発表講演会, May 2005, Japanese, システム制御情報学会, 京都, Domestic conference

  Oral presentation


• 遺伝的機械学習によるRC自動車制御ルールの獲得

  MORIISHI Hiroyuki, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  第49回システム制御情報学会研究発表講演会, May 2005, Japanese, システム制御情報学会, 京都, Domestic conference

  Oral presentation


• 自己組織化マップと遺伝的機械学習に基づくエレベータ運行ルールの構成・獲得方法

  劉 瑜, 稲元 勉, 玉置 久, 北村 新三, 村尾 元

  第32回計測自動制御学会知能システム・シンポジウム, 2005, Japanese, 計測自動制御学会, 未記入, Domestic conference

  Oral presentation


• 高速道路交通の自立分散型シミュレーション・モデルと意思決定

  松本 卓也, 玉置 久, 村尾 元, 北村 新三, 前田 和男

  第17回計測自動制御学会自立分散システム・シンポジウム, 2005, Japanese, 計測自動制御学会, 未記入, Domestic conference

  Oral presentation


• 強化学習における状態フィルタの適応的獲得－マルチエージェント問題への適用－

  永吉 雅人, 村尾 元, 玉置 久, 北村 新三

  第17回計測自動制御学会自立分散システム・シンポジウム, 2005, Japanese, 計測自動制御学会, 未記入, Domestic conference

  Oral presentation


• 遺伝的機械学習に基づくエレベータ運行ルールの獲得方法

  高口 雄介, 稲元 勉, 玉置 久, 村尾 元, 北村 新三

  第48回システム制御情報学会研究発表講演会, May 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 二足歩行ロボットの転倒回避動作に基づく歩行運動の実現

  鈴木 智之, 村尾 元, 玉置 久, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 状態のフィルタリングを考慮した強化学習方式

  永吉 雅人, 村尾 元, 玉置 久, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 自律分散型モデルによる道路交通シミュレーションと意思決定

  丹治 陽介, 玉置 久, 村尾 元, 北村 新三, 前田 和男

  第16回計測自動制御学会自律分散システム・シンポジウム, 2004, Japanese, 計測自動制御学会 システム・情報部門, 京都テルサ, Domestic conference

  Oral presentation


• 資源循環システムの自律分散型モデルとシミュレーションによる数値的考察

  松本 卓也, 玉置 久, 村尾 元, 北村 新三

  第16回計測自動制御学会自律分散システム・シンポジウム, 2004, Japanese, 計測自動制御学会 システム・情報部門, 京都テルサ, Domestic conference

  Oral presentation


• 高次元連続状態空間の強化学習における状態フィルタの適応的獲得

  永吉 雅人, 村尾 元, 玉置 久, 北村 新三

  平成16年電気学会電子・情報システム部門大会, 2004, Japanese, 電気学会, 未記入, Domestic conference

  Oral presentation


• 強化学習による三次元モデルでのRCヘリコプタの制御

  谷垣 啓太, 村尾 元, 玉置 久, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 遺伝的機械学習による自走型模型自動車の操舵ルールの獲得

  森石 寛之, 玉置 久, 村尾 元, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• プロダクトミックス最適化問題の数理モデル化と解法

  井本 考亮, 榊原 一紀, 玉置 久, 村尾 元, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• シミュレーションに基づくクレーン操業計画問題のメタヒューリスティック解法

  村田 純一, 玉置 久, 村尾 元, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• AIBOの歩行パターン設計への強化学習の適用

  杉江 朋実, 村尾 元, 玉置 久, 北村 新三

  第48回システム制御情報学会研究発表講演会, 2004, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• An Application of Branch-and-Bound Method to Deterministic Optimization Modal of Elevator Operation Problems

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  2005 Electronics, Information and Systems Conference, Electronics, Information and Systems Society of Japan, Aug. 2003, Japanese, 電気学会, 秋田, Domestic conference

  Oral presentation


• エレベータ運行計画最適化のためのルール獲得手法の一構成例

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  第9回創発システムシンポジウム, Aug. 2003, Japanese, 計測自動制御学会, 富山, Domestic conference

  Poster presentation


• An Application of Branch-and-Bound Method to Elevator Operation Problems Based on Deterministic Optimization Model

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  47th Annual Conference of The Institute of Systems, Control and Information Engineers, May 2003, Japanese, 計測自動制御学会, 京都, Domestic conference

  Oral presentation


• 複数物体を含む画像から物体抽出を行うためのステレオ視差を用いた動的輪郭モデルの提案

  小島 英生, 村尾 元, 玉置 久, 北村 新三

  第30回計測自動制御学会知能システム・シンポジウム, 2003, Japanese, 計測自動制御学会、システム・情報部門, 学術総合センター, Domestic conference

  Oral presentation


• 非正規等価並列機械型スケジューリング問題に対するハイブリッド解法とその数値的評価

  阪田 恒次, 玉置 久, 村尾 元, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 自律分散型意思決定モデルの並列機械型スケジューリング問題への適用方策

  田中 駿一, 榊原 一紀, 玉置 久, 村尾 元, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 自律分散型モデルによる道路交通シミュレーション

  丹治 陽介, 玉置 久, 村尾 元, 北村 新三, 前田 和男

  第15回計測自動制御学会自律分散システム・シンポジウム, 2003, Japanese, 計測自動制御学会、システム・情報部門, 東北大学電気通信研究所, Domestic conference

  Oral presentation


• 資源循環システムの自律分散型シミュレーション・モデル

  松本 拓也, 玉置 久, 村尾 元, 北村 新三

  第15回計測自動制御学会自律分散システム・シンポジウム, 2003, Japanese, 計測自動制御学会、システム・情報部門, 東北大学電気通信研究所, Domestic conference

  Oral presentation


• 強化学習による4足ロボットの歩行獲得

  箕岡 英司, 村尾 元, 玉置 久, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 学習・進化システム評価用模型自動車の設計・作製・シミュレーション

  須佐美 有香, 玉置 久, 村尾 元, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• 遺伝アルゴリズムによるLEGOロボットアームの設計支援

  廣田 義人, 村尾 元, 玉置 久, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• リアルタイム・スケジューリングのためのルールの構成と獲得・調整－遺伝的機械学習によるアプローチ－

  榊原 一紀, 玉置 久, 村尾 元, 北村 新三

  スケジューリング・シンポジウム, 2003, Japanese, スケジューリング学会, 電気通信大学, Domestic conference

  Oral presentation


• フローショップにおけるリアクティブ・スケジューリングのための多段階修正方式

  榊原 一紀, 小野 たまみ, 玉置 久, 村尾 元, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• フレキシブルショップ問題への遺伝的機械学習アプローチ-リアルタイムスケジューリングのためのルール獲得法

  榊原 一紀, 玉置 久, 村尾 元, 北村 新三

  第15回計測自動制御学会自律分散システム・シンポジウム, 2003, Japanese, 計測自動制御学会、システム・情報部門, 東北大学電気通信研究所, Domestic conference

  Oral presentation


• エージェント間コミュニケーション獲得への強化学習の適用

  小島 英生, 村尾 元, 玉置 久, 北村 新三

  第30回計測自動制御学会知能システム・シンポジウム, 2003, Japanese, 計測自動制御学会、システム・情報部門, 学術総合センター, Domestic conference

  Oral presentation


• RBFニューラルネットを用いた強化学習によるRCヘリコプタの制御

  多山 哲郎, 村尾 元, 玉置 久, 北村 新三

  第47回システム制御情報学会研究発表講演会, 2003, Japanese, システム制御情報学会, 京都テルサ, Domestic conference

  Oral presentation


• An Application of Branch-and-Bound Method to Deterministic Optimization Model of Elevator Operation Problems

  INAMOTO Tsutomu, TAMAKI Hisashi, MURAO Hajime, KITAMURA Shinzo

  SICE Annual Conference 2002, Jul. 2002, English, 計測自動制御学会, Osaka, Domestic conference

  Oral presentation


• A Study on the Multicriteria Optimization Support by Using Evolutionary Algorithms

  INAMOTO Tsutomu, MURAO Hajime, Victor V. Kryssanov, KITAMURA Shinzo

  6th International Symposium on Artificial Life and Robotics, Jan. 2001, English, Oita, Domestic conference

  Oral presentation


• Designing a Pattern Generator for a Walking Robot using a Computational Process Model of Creativit

  INAMOTO Tsutomu, MURAO Hajime, Victor V. Kryssanov, KUREMATSU Yasuo, KITAMURA Shinzo

  44th Annual Conference of The Institute of Systems, Control and Information Engineers, May 2000, Japanese, システム制御情報学会, 京都, Domestic conference

  Oral presentation


• 問題解決における非決定性を考慮した意思決定支援手法の提案 ―共進化型GAによるアプローチ―

  INAMOTO Tsutomu, Victor V. Kryssanov, MURAO Hajime, KUREMATSU Yasuo, KITAMURA Shinzo

  2000年度SICE関西支部シンポジウム, 2000, Japanese, 計測自動制御学会, 大阪, Domestic conference

  Oral presentation


• Designing a Pattern Generator for a Walking Robot by Modeling the Human Creative Process

  INAMOTO Tsutomu, MURAO Hajime, Victor V. Kryssanov, KUREMATSU Yasuo, KITAMURA Shinzo

  5th International Symposium on Artificial Life and Robotics, Jan. 2000, English, Oita, Domestic conference

  Oral presentation

• システム制御情報学会

• Experiences and Networks of Migrant Sex Work and Trafficking: Research on 9 Countries for Good Supporting Practices

  青山 薫, LEBAIL Helene, 村尾 元, 熊田 陽子, 大野 聖良

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (A), Kobe University, 01 Apr. 2023 - 31 Mar. 2028


• Rethinking the Migrant Sex Trade: Reducing the Harm from Globalisation

  青山 薫, 菊地 夏野, LEBAIL Helene, 村尾 元, 原 めぐみ

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Kobe University, 01 Apr. 2019 - 31 Mar. 2023

  全体としては、9月に神戸大学でワークショップを行い、方法論および現在までの研究を共有した。同時に日本の性風俗産業について、セックスワーカー当事者・支援者団体およびチェーン店舗経営者からのレクチャーを受けた。これらの結果、数年前まで、そこで働く人の出身国籍によって区分けされ横のつながりがない、と一般に言われていた日本の性風俗産業内部の分断を、現在では経営者も働く人も越えて往来するようになっている傾向が、新たに観察された。なお、このワークショップは本研究の代表者がやはり代表者として進めている国際共同研究と合同で行い、それぞれの分担者・協力者の情報交換の機会とした。 各国・各テーマについては、次のとおりの研究を行い、実績を上げた。1)ネットワーク分析のテキストへの適用について、携帯翻訳機から取得した会話データを用いて検討した。今後、性取引等の当時者に対するインタビューデータへの応用を検討する。2)日本について、セックスワークとグローバル化に関する先行研究を中心に文献調査を行った。また、名古屋市繁華街における性的少数者であるセックスワーカーの実態について聞き取り調査、大阪における中国出身セックスワーカーのパイロット調査を開始し、今後の聞き取りとネットワーク分析データにつながる人間関係および知見を得た。定住化後の当事者ネットワークについては、次世代などにかかわるケア・ネットワークの表かも視野に入れる必要が明らかになった。3)フランス・パリと東京において、現地NPOと協力のうえアウトリーチを行う交渉を始めた。パリにおいては当事者団体の協力を得て次年度のワークショップを計画。準備を開始した。4)タイについては、先行研究レビューが完了し、英語での共有も行った。


• 表面的特徴に基づいた「やさしい日本語」の自動生成への深層学習の適用

  村尾 元

  日本学術振興会, 科学研究費助成事業 基盤研究(C), 基盤研究(C), 神戸大学, 01 Apr. 2019 - 31 Mar. 2022

  本研究では，難解な日本語の文章を「やさしい日本語」に変換するシステムの構築を目的とする。本研究では，難解な用語の平易な表現への置き換えではなく，文法的に平易な文章への変換を目指す。したがって，中心的な課題は，「やさしい日本語」の文法的な特徴を抽出すること，さらに，この特徴を利用して，自然な「やさしい日本語」の生成を実現することである。本研究では，この目的のために，助詞や助動詞，句読点や空白，改行の使用法といった，文章の「表面的な特徴」を利用する。これらを抽出・利用するために，本研究では深層学習による自然言語処理の技術を適用する。 本年度は，研究計画に基づき，「やさしい日本語」の「表面的な特徴」についての検討を行った。 まず，準備として，既存研究において作成されたコーパスから「やさしい日本語」と「難解な日本語」を抜き出し，それらの文法上の差異に基づく分別を試みた。しかし，コーパスに納められた文の多くは難解な用語の平易な表現への置き換えによる変換であり分別は困難であった。 そこで，日本語を母語としない者にとっての「やさしい日本語」とはそもそもどういうものかについて検討を行う必要があると考えた。そのため，神戸新聞社および(株)ソースネクスト社の協力を得て，携帯型機械翻訳機およそ100台を神戸市内の各所に配布，外国人旅行者との会話に利用してもらい，その会話データを収集した。収集された日本語文は，外国語から機械的に翻訳されたものであるが，会話相手が日本人であり，また機械翻訳を行っていることを話者も知っているため，できるだけ平易な用語や文法で話すと期待され，そこから翻訳された日本語も平易なものになっていると考えた。現在，得られた日本語の分析を行っており，「表面的な特徴」に関する様々な知見が得られた。これについては論文を作成し，国際学会に投稿済みである。


• An Application of Deep Learning to detect Plagiarisms in Assigned Reports based on the Style Model

  Murao Hajime

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 01 Apr. 2016 - 31 Mar. 2019, Principal investigator

  In this study, we have applied a Variational Recurrent Auto-Encoder (VRAE) to detect plagiarisms in assigned reports. VRAE is preliminarily trained by using "expression features" of reports submitted by students. Here, "expression features" are a number of punctuations, the location of new-lines, etc. VRAE learn a map from the expression features of each students' report onto the latent space. Then, whenever a student submits a new report, we extract the expression features from it and input to the trained VRAE, and estimate the author of the report by checking where the report will map on the latent space. We test the proposed method and validate possibility.

  Competitive research funding


• Research on L2 English morphosyntactic processing in view of information processing approach

  Tanaka Junko

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 01 Apr. 2015 - 31 Mar. 2019

  This research investigated how English as a second language (L2) learners whose first language (L1) is Japanese would process English morphosyntax, especially English articles, and how the processing differs depending on their L2 proficiency. L2 morphosyntactic knowledge is often used to gauge the degree of L2 attainment in L2 theory building and its evaluation. This study, more specifically, focuses on the acquisition of English articles within English morphosyntax by L1 Japanese learners whose L1 does not have articles. We investigated the L2 English learners’ processing of L2 English articles in pseudo discourse settings through behavioral and subjective measures, using eye-tracking techniques, attempting to uncover wether the L1 Japanese learners process L2 English articles syntactically/semantically or implicitly/explicitly.


• 情報処理的アプローチによる第二言語としての英語形態統語処理の研究

  田中 順子

  学術研究助成基金助成金／基盤研究(C), Apr. 2015 - Mar. 2018

  Competitive research funding


• Development of a Plagiarisms Detecting System for Reporting Assignments based on the Style Model

  Murao Hajime

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 01 Apr. 2013 - 31 Mar. 2016, Principal investigator

  In this study, we have developed a prototype system to detect plagiarisms in reporting assignments. The system firstly train a Hidden Markov Model (HMM) for each of students from "expression feature" of submitted reports, such as a number of punctuations, the location of new-lines, etc. We call the trained HMM a "style model". Then, whenever a student submits a new report, the system uses the student’s style model to validate if the report has been actually written by the student. We have tested the system in our laboratory and observed quite fair result around 70% of correct classification.

  Competitive research funding


• L2 English article learning processes by L1 Japanese speakers: With some reference to machine learning research

  TANAKA Junko, MURAO Hajime, MORISHITA Junya, QUINN Cynthia

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 01 Apr. 2010 - 31 Mar. 2015

  L2 English article learning is a very complex learning domain for L1 article-less Japanese speakers. This study investigates L2 English article learning processes by those article-less L1 Japanese speakers, utilizing results from experimental research with human participants and findings from machine learning research. Specific aims of the study are, first, to identify variables that are responsible for L2 English article learning by L1 Japanese speakers, second, to observe how those variables function in those L2 learners acuqisition of L2 English articles, and finally, to explore if operationalizing those variables could possibly lead to effective L2 English article teaching and/or learning.

  Competitive research funding


• Development of a Plagiarisms Detecting System for Programming Courses based on the Programming Style Model

  MURAO Hajime

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 2009 - 2011, Principal investigator

  In this study, we have developed a prototype system to detect source-code plagiarisms in programming courses. The system firstly constructs "programming style models" for each of students from "expression feature" of source-codes, such as a number of spaces after some specific characters like comma, the location of new-lines around braces, etc. Then, whenever a student submits a new source-code, the system uses the student's style model to validate if the source-code has been actually written by the student. We have tested the system in our laboratory and observed quite fair result over 80% of correct classification.

  Competitive research funding


• メタ認知に基づく機械学習に関する研究

  村尾 元

  日本学術振興会, 科学研究費助成事業 若手研究(B), 若手研究(B), 神戸大学, 2005 - 2006, Principal investigator

  本研究の目的は,自己の認知的活動に関する認知を表す「メタ認知」の概念に基づく機械学習を公正することである.これにより,学習器そのものが学習の過程を監視し,ルール抽象化の程度を制御できるようになる. 1)メタ認知に基づく学習モデルの構築 まず,本研究では「メタ認知」を「学習過程を観測し,知識の内部表現を調整する機構」として定義した.なお,ここでは,一般的な機械学習の形式に従って「知識」を「特定の入力信号に対して出力信号を決定する単一のルール」とした.メタ認知の学習モデルは,このルール間の重複と矛盾を観測し,重複があればルールの統合を,矛盾があればルールを分割するというメタ学習機構によって実現されることとした. 2)メタ認知に基づく強化学習アルゴリズムの構築 1で構築したメタ認知の学習モデルを,代表的な機械学習である強化学習法のひとつQ学習に適用した.Q学習では,センサ入力に対する行動の出力確率をQ値というスカラー値によって決定する.このとき,同じセンサ入力に対するQ値の集合が,メタ認知学習モデルにおけるルールに対応すると考える.静的な環境においては,ルールが適切であれば,十分に学習が進んだ後,ある特定の行動に対する確率が高くなるように,対応するQ値が大きくなる.ルールに「矛盾」がある場合は,単一のセンサ入力に対して複数の行動の確率が同時に高くなり,ルールに「重複」がある場合は,異なるセンサ入力に対して同一の行動の確率が高くなると仮定し,Q学習にメタ学習に基づく学習機構を組み込んだ. 3)移動ロボットを用いた検証 2で構築した強化学習アルゴリズムを実装し,二輪型の移動ロボットのシミュレータを用いて実験を行った.また,これを市販の四足移動ロボットであるSONY社のAIBOに実装して実験を行った.この結果,メタ認知学習モデルが適切に動作していることを確認した.

  Competitive research funding


• Emergent Design Theories in Interactive Information Fields

  KITAMURA Shinzo, TAMAKI Hisashi, NAGSAKA Ichiro, KIKUCHI Makoto, MURAO Hajime

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Kobe University, 2002 - 2003

  The project aimed at clarifying and also interpreting the creativity and the comprehensive ability of human which were revealed in the process of designing artifacts, and included the following sub-themes : (1) analysis of the mathematical structure of "interactive information fields" which describe the informational flow between human and computers, (2) emergent design theories based on learning (application of reinforcement learning to such problems that the information on an environment is incomplete), and (3) emergent design theories based on interaction (application of interactive evolutionary computation to such problems that the specification is also incomplete). In the course of the sub-theme (1), first by taking classifier systems for the example, their mathematical modeling based on the situation theory and the channel theory was investigated. As for the abstract design theory, by focusing on abduction, the mathematical formulation of non-deductive reasoning was given, which clarified the relationship among induction, abduction and system design. In the sub-theme (2), the frameworks based on reinforcement learning and genetics-based machine learning were reconstructed as the mechanism of acquiring the internal model of an environment as well as seeking for a solution. Through some computational experiments for the problems of real-time scheduling, generating a walking pattern of biped robots, navigating a robot, and so on, the effectiveness of the frameworks was examined. Furthermore, in the sub-theme (3), methods of interactive evolutionary computation, which utilized the ambiguous decisions of human, were mainly considered. The computational models of a co-evolutionary genetic algorithm as well as a genetic algorithm with sexual selection were investigated, and the potential of these models was confirmed through computational experiments.


• 創造的思考の理論に基づく創発的計算手法に関する研究

  村尾 元

  日本学術振興会, 科学研究費助成事業 若手研究(B), 若手研究(B), 神戸大学, 2002 - 2003

  本研究の目的は,工学的問題解決における人間の負担軽減のため,人間だけが有する特異な能力であるところの"創造性"を計算機上に実現することである. まず,これまでに哲学や認知科学の分野において行われてきた研究に基づき,創造性に関する理論の数理化を行った.それらによれば,人間の創造性は二つの異なる思考過程の相互作用の結果であり,概念空間という思考空間上の二種類の変換として表現できる.これを,代数的記号論を用いた数理化を行った.すなわち,概念空間を記号系として表現し,この上の二種類の変換を記号的射として記述した. 問題解決における創造性の役割は,新規な解の創出によって特徴付けられる.この目的のため,創発的計算手法についてこれまでも研究をすすめてきた.創発現象は生物の様々なレベルにおいて観測することができるため,進化や学習といった生物の適応手法に倣った計算手法が基礎的計算法として利用されてきたが,その理論的背景は十分ではなかった.本研究による創造的思考の数学モデルにより,理論的な裏付けを与えるとともに,目的に合致するように創発的計算手法を構成するための方法論が示されたと言える. これに基づき,共進化型の遺伝的アルゴリズムを構成した.このアルゴリズムでは,従来は人間が試行錯誤で行ってきた解候補から遺伝子への符号化を,解の探索過程において同時に探索を行う.これを典型的な組み合わせ最適化問題である騙し問題に適用し,人間が符号化を行った場合の単純遺伝的アルゴリズムに比べても良好な結果を得た. また,同様にモジュール型の強化学習を構成し,これを従来は試行錯誤,すなわち人間の創造性に任されてきた4足ロボットの歩行軌道獲得問題に適用し,良好な結果を得た.


• Emergent Theory for System Design

  KITAMURA Shinzo, TAMAKI Hisashi, TOSHIHARU Taura, KAKUDA Yuzuru, MURAO Hajime

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Kobe University, 2000 - 2001

  Relating the emergent property to systems design of artifacts, the mathematical formulation of human designers' role and the supporting systems for design procedure were studied. The followings were the results obtained. 1. Mathematical models for design procedure As an extension of the general design theory proposed by Yoshikawa et al, an abstract design theory was developed based on the concept of information flow by Barwise and Seligman. Also the design framework(e.g. the space of performance index, constraints and parameters) was mathematically defined and the effectiveness of reuse of design knowledges were discussed. 2. Introduction of emergent methods to design procedure For assisting human designers, the genetic programming was extended for multi-objective problem. The system supports the designers by showing many solution candidates generated in computer, where the designers can select a candidate by their preference and improve it to get a final solution. 3. Analysis of design procedure as interactive engineering A model for the creativity in design procedure which has been one of the important role of human designers, was proposed and computer aided design was tried by using this model. 4. Evaluation and verification of emergent system design theory The design theory developed here were evaluated and verified for following three problems : the design of linear passive filters by multi-objective genetic programming, the generation of scheduling rules by genetic machine learning, and the construction of autonomous-decentralized decision model.


• Towards a Theory for Emergent Approach of Engineering Design

  KITAMURA Shinzo, MURAO Hajime, TAMAKI Hisashi

  Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Grant-in-Aid for Scientific Research (C), Kobe University, 1998 - 1999

  In conventional design process of artificial systems(artifacts), a total system is generated by connecting various parts(subsystems) in order to satisfy a given specification. However, such a process depends much on the skill of human designers. This research focussed, through the concept of emergence, on the studies for the analysis of such humans' capability in the design process. The main results are following : 1.Formalization of emergent design theories A new design theory was mathematically formulated as a repetitive process based on the emergence concept. Also human's creativity was considered in the relevant problem. 2.Approach to the design problem including ambiguities by using evolutionary computings The evolutionary computing methods were applied for the design problems under the ambiguities on the information of environment and specification. 3.Adaptive construction of internal state space for reinforced-learning agents For the agents behaving in unknown environment, a method to construct the internal state space by the reinforcement learning was developed. 4.Design of multi-agent system A design method for autonomous multi-agent systems was developed and it was applied for various scheduling problems.

• 類似度評価プログラム、類似度評価装置及び類似度評価方法

  MURAO HAJIME, OHNO ASAKO

  特願2006-219079, 11 Aug. 2006, 大学長, 特許4560608, 11 Aug. 2010

  Patent right