Name: Koichi Moriyama
Position: Specially Appointed Associate Professor

Education

Mar. 1998 Bachelor of Engineering, Department of Computer Science, Tokyo Institute of Technology
Mar. 2000 Master of Engineering, Department of Computer Science, Tokyo Institute of Technology
Mar. 2003 Doctor of Engineering, Department of Computer Science, Tokyo Institute of Technology

Employment

Apr. 2003 – Mar. 2005 Research Associate, Department of Computer Science, Tokyo Institute of Technology
Apr. 2005 – Mar. 2007 Research Associate, The Institute of Scientific and Industrial Research, Osaka University
Apr. 2007 – Mar. 2015 Assistant Professor, The Institute of Scientific and Industrial Research, Osaka University
Apr. 2015 – Specially Appointed Associate Professor, The Institute of Scientific and Industrial Research, Osaka University

Academic Activities (International only)

Current

  • IPSJ Journal of Information Processing (JIP), Editorial Committee Member
  • IEEE Computational Intelligence Society, the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee (ADPRLTC), Member
  • International Journal of Organizational and Collective Intelligence, International Editorial Review Board Member

Past

  • IEICE Transactions on Information & Systems, Associate Editor (May 2011 – Jun. 2015)
  • International Joint Conference on Artificial Intelligence (IJCAI), PC Member (2013)
  • International Conference on Autonomous Agents and Multiagent Systems (AAMAS), PC Member (2013-2015)
  • International Joint Conference on Neural Networks (IJCNN)
  • IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), PC Member (2013)
  • International Workshop on Empathic Computing (IWEC), PC Member (2013)
  • Workshop on Computation: Theory and Practice (WCTP), PC Member (2012-2014)
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Local Arrangement Committee Member (2008)
  • International Workshop on Autonomous Decentralized Systems (IWADS), PC Member (2005)

 

Research Activities

 

Invited Talks etc. (in English)

  1. Koichi Moriyama. “Does Profit Mean Happiness? — A way to create an emotional agent”. 2nd Osaka University – De La Salle University Workshop on Empathic Computing, De La Salle University, Manila, Philippines, Sep. 28, 2010.

 

Invited Talks etc. (in Japanese)

See the Japanese page.

 

Papers in English

  1. Ira Puspitasari, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Effects of Individual Health Topic Familiarity on Activity Patterns During Health Information Searches”. JMIR Medical Informatics, Vol. 3, No. 1, e16, 2015. doi:10.2196/medinform.3803
  2. Vanus Vachiratamporn, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “An Analysis of Player Affect Transitions in Survival Horror Games”. Journal on Multimodal User Interfaces, Vol. 9, No. 1, pp. 43-54, 2015. doi:10.1007/s12193-014-0153-4
  3. Paul Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui and Masayuki Numao: “Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios”. International Journal of Distance Education Technologies, Vol. 12, No. 4, pp. 32-54, 2014. doi:10.4018/ijdet.2014100103
  4. Koichi Moriyama, Simón Enrique Ortiz Branco, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao: “An Intelligent Fighting Videogame Opponent Adapting to Behavior Patterns of the User”. IEICE Transactions on Information and Systems, Vol. E97-D, No. 4, pp. 842-851, 2014. doi:10.1587/transinf.E97.D.842 (or IEICE Archive)
  5. Ken-ichi Fukui, Shogo Akasaki, Kazuhisa Sato, Junichiro Mizusaki, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Visualization of Damage Progress in Solid Oxide Fuel Cells”. Journal of Environment and Engineering, Vol. 6, No. 3, pp. 499-511, 2011.
  6. Koichi Moriyama: “Utility based Q-learning to facilitate cooperation in Prisoner’s Dilemma games”. Web Intelligence and Agent Systems, Vol. 7, No. 3, pp. 233-242, 2009. doi:10.3233/WIA-2009-0165
  7. Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao: “Reinforcement Learning on a Futures Market Simulator”. Journal of Universal Computer Science, Vol. 14, No. 7, pp. 1136-1153, 2008. doi:10.3217/jucs-014-07-1136
  8. Toshihito Sugimoto, Roberto Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Modelling affective-based music compositional intelligence with the aid of ANS analyses”. Knowledge-Based Systems. Vol. 21, No. 3, pp. 200-208. 2008. doi:10.1016/j.knosys.2007.11.010
  9. Xiaodong Lu, Koichi Moriyama, Ivan Luque, Miho Kanda, Yanqing Jiang, Ryuji Takanuki, and Kinji Mori: “Timeliness and Reliability Oriented Autonomous Network-Based Information Services Integration in Multi-Agent Systems”. IEICE Transactions on Information and Systems, Vol. E88-D, No. 9, pp. 2089-2097, 2005. doi:10.1093/ietisy/e88-d.9.2089

 

Papers in Japanese

See the Japanese page.

 

International Conferences & Workshops

  1. Yusuke Sakamoto, Ken-ichi Fukui, Joao Gama, Daniela Nicklas, Koichi Moriyama, and Masayuki Numao: “Concept Drift Detection with Clustering via Statistical Change Detection Methods”. The 7th International Conference on Knowledge and Systems Engineering (KSE), Ho Chi Minh City, Vietnam, 2015. (accepted)
  2. Kazuki Asayama, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Prediction as Faster Perception in a Real-time Fighting Video Game”. The 2015 IEEE Conference on Computational Intelligence and Games (CIG), Tainan, Taiwan, 2015. (accepted)
  3. Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Investigation of Familiarity Effects in Music-Emotion Recognition Based on EEG”. The 2015 International Conference on Brain Informatics and Health (BIH), London, U.K., 2015. (accepted)
  4. Yoshiyuki Okada, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Cluster Sequence Mining: Causal Inference with Time and Space Proximity under Uncertainty”. Proc. 19th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 293-304, Ho Chi Minh City, Vietnam (LNAI 9078, Springer, Berlin/Heidelberg), 2015. doi:10.1007/978-3-319-18032-8_23
  5. Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Predicting Consumer Familiarity with Health Topics by Query Formulation and Search Result Interaction”. Proc. 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 1016-1022, Gold Coast, Australia (LNAI 8862, Springer, Berlin/Heidelberg), 2014. doi:10.1007/978-3-319-13560-1_88
  6. Peerapon Vateekul, Nattapong Thammasan, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Item-Based Learning for Music Emotion Prediction Using EEG Data”. Proc. 5th International Workshop on Empathic Computing (IWEC), Gold Coast, Australia, 2014.
  7. Wataru Fujita, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Learning better strategies with a combination of complementary reinforcement learning algorithms”. Proc. Workshop on Computation: Theory and Practice (WCTP), pp. 43-54, Manila, Philippines, 2014.
  8. Kevin Fischer, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Fighter or Explorer? — Classifying Player Types in a Japanese-Style Role-Playing Game from Game Metrics”. Proc. Workshop on Computation: Theory and Practice (WCTP), pp. 55-66, Manila, Philippines, 2014.
  9. Nattapong Thammasan, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Dynamic and Individual Emotion Recognition Based on EEG during Music Listening”. Proc. Workshop on Computation: Theory and Practice (WCTP), pp. 87-98, Manila, Philippines, 2014.
  10. Yusuke Sakamoto, Ken-ichi Fukui, Daniela Nicklas, Koichi Moriyama, and Masayuki Numao: “Detection of Concept Drift on an Adaptive Monitoring System”. Proc. Workshop on Computation: Theory and Practice (WCTP), p. 140, Manila, Philippines, 2014. (Works in Progress Session: Abstract only)
  11. Vanus Vachiratamporn, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “An Implementation of Affective Adaptation in Survival Horror Games”. Proc. 2014 IEEE Conference on Computational Intelligence and Games (CIG), pp. 263-270, Dortmund, Germany (IEEE, Piscataway, NJ), 2014. doi:10.1109/CIG.2014.6932893 (or PDF in CIG2014 Webpage)
  12. Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Cooperation-Eliciting Prisoner’s Dilemma Payoffs for Reinforcement Learning Agents”. Proc. 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1619-1620, Paris, France (IFAAMAS, Richland, SC), 2014. (PDF in IFAAMAS Webpage)
  13. Paul Salvador Inventado, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Towards Building Incremental Affect Models in Self-Directed Learning Scenarios”. Proc. 21st International Conference on Computers in Education (ICCE), pp. 170-172, Bali, Indonesia, 2013. (PDF in ICCE2013 Webpage)
  14. Satoshi Kurihara, Koichi Moriyama, and Masayuki Numao: “Context-Aware Application Prediction and Recommendation in Mobile Devices”. Proc. 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI/IAT), Vol. 1, pp. 494-500, Atlanta, Georgia, U.S.A. (IEEE Computer Society, Los Alamitos, CA), 2013. doi:10.1109/WI-IAT.2013.69
  15. Satoshi Kurihara, Koichi Moriyama, and Masayuki Numao: “Proposition of the Context-Aware Application Prediction Mechanism for Mobile Devices”. The 2nd International Workshop on Data Oriented Constructive Mining and Multi-agent Simulation (DOCMAS), Atlanta, Georgia, U.S.A., 2013. (included in Proc. 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI/IAT), Vol. 3, pp. 118-121, IEEE Computer Society, Los Alamitos, CA, 2013. doi:10.1109/WI-IAT.2013.163)
  16. Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Personalization Approach in Health Information Retrieval System”. Type II Abstracts of the 2013 International Conference on Active Media Technology / Brain and Health Informatics, p. 81, Maebashi, Japan, 2013. (Abstract only)
  17. Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao: “Health Information Search Personalization with Semantic Network User Model”. Proc. Workshop on Computation: Theory and Practice (WCTP), Quezon City, Philippines, 2013.
  18. Paul Salvador Inventado, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Building Incremental Affect Models to Help Students Annotate and Analyze their Behavior in Self-Directed Learning Scenarios”. Proc. Workshop on Computation: Theory and Practice (WCTP), Quezon City, Philippines, 2013.
  19. Danaipat Sodkomkham, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “APP: Aperiodic and Periodic Model for Long-Term Human Mobility Prediction Using Ambient Simple Sensors”. Proc. 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE), pp. 3-18, Prague, Czech Republic, 2013.
  20. Vanus Vachiratamporn, Roberto Legaspi, Koichi Moriyama, and Masayuki Numao: “Towards the Design of Affective Survival Horror Games: an Investigation on Player Affect”. Proc. 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII), pp. 576-581, Geneva, Switzerland, (IEEE Computer Society, Los Alamitos, CA), 2013. doi:10.1109/ACII.2013.101
  21. Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama and Masayuki Numao: “An architecture for identifying and using effective learning behavior to help students manage learning”. Proc. Workshop on Formative Feedback in Interactive Learning Environments (FFILE), Memphis, Tennessee, U.S.A., 2013.
  22. Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao: “Identification of Effective Learning Behaviors”. Proc. 16th International Conference on Artificial Intelligence in Education (AIED), pp. 670-673, Memphis, Tennessee, U.S.A., (LNAI 7926, Springer, Berlin/Heidelberg), 2013. doi:10.1007/978-3-642-39112-5_85
  23. Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, and Satoshi Kurihara: “Learning system for adapting users with user’s state classification by vital sensing”. Proc. 2nd International Workshop on Ambient Information Technologies (AMBIT), Lake Buena Vista, Florida, U.S.A., 2013. (Also in Proc. 2013 IEEE Virtual Reality, pp. 231-232, IEEE Computer Society, Los Alamitos, CA, 2013. doi:10.1109/VR.2013.6549438)
  24. Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, and Satoshi Kurihara: “Effective awaking interaction learning system that uses vital sensing”. Proc. 2013 IEEE Sensors Applications Symposium (SAS), pp. 104-108, Galveston, Texas, U.S.A., 2013. doi:10.1109/SAS.2013.6493566
  25. Yu Yamano, Rafael Cabredo, Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara and Masayuki Numao: “Investigating the Relation between Brainwaves and Emotions in Music”. Proc. Workshop on Computation: Theory and Practice (WCTP), pp. 236-245, Manila, Philippines, 2012.
  26. Yu Yamano, Rafael Cabredo, Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao: “Estimating Emotions on Music Based on Brainwave Analyses”. Proc. 3rd International Workshop on Empathic Computing (IWEC), pp. 115-124, Kuching, Malaysia, 2012.
  27. Kiyoshi Kiyokawa, Masahide Hatanaka, Kazufumi Hosoda, Masashi Okada, Hironori Shigeta, Yasunori Ishihara, Fukuhito Ooshita, Hirotsugu Kakugawa, Satoshi Kurihara, and Koichi Moriyama: “Owens Luis — A Context-aware Multi-modal Smart Office Chair in an Ambient Environment”. Proc. 1st International Workshop on Ambient Information Technologies (AMBIT), pp. 6-9, Orange County, California, U.S.A., 2012. (Also in Proc. 2012 IEEE Virtual Reality Short Papers and Posters, IEEE Computer Society, Los Alamitos, CA, 2012. doi:10.1109/VR.2012.6180951)
  28. Junya Nakase, Koichi Moriyama, Kiyoshi Kiyokawa, Masayuki Numao, Mayumi Oyama, and Satoshi Kurihara: “Adaptive interactive device control by using reinforcement learning in ambient information environment”. Proc. 1st International Workshop on Ambient Information Technologies (AMBIT), pp. 24-27, Orange County, California, U.S.A., 2012. (Also in Proc. 2012 IEEE Virtual Reality Short Papers and Posters, IEEE Computer Society, Los Alamitos, CA, 2012. doi:10.1109/VR.2012.6180848)
  29. Hironori Shigeta, Junya Nakase, Yuta Tsunematsu, Kiyoshi Kiyokawa, Masahide Hatanaka, Kazufumi Hosoda, Masashi Okada, Yasunori Ishihara, Fukuhito Ooshita, Hirotsugu Kakugawa, Satoshi Kurihara, and Koichi Moriyama: “Implementation of a Smart Office System in an Ambient Environment”. Proc. 1st International Workshop on Ambient Information Technologies (AMBIT), pp. 28-29, Orange County, California, U.S.A., 2012. (Also in Proc. 2012 IEEE Virtual Reality Short Papers and Posters, IEEE Computer Society, Los Alamitos, CA, 2012. doi:10.1109/VR.2012.6180849)
  30. Kiyoshi Kiyokawa, Masahide Hatanaka, Kazufumi Hosoda, Masashi Okada, Hironori Shigeta, Yasunori Ishihara, Fukuhito Ooshita, Hirotsugu Kakugawa, Satoshi Kurihara, and Koichi Moriyama: “Owens Luis — A Proposal of a Smart Office Chair in an Ambient Environment”. Proc. 21st International Conference on Artificial Reality and Telexistence (ICAT), p. 164, Osaka, Japan, 2011. (PDF in ICAT Webpage)
  31. Roberto Legaspi, Akinobu Ueda, Takayuki Nishikawa, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Exploring Melodic Motif to Support an Affect-Based Music Compositional Intelligence”. The 2nd International Workshop on Empathic Computing (IWEC), Hanoi, Vietnum, 2011. (included in Proc. 3rd International Conference on Knowledge and Systems Engineering (KSE), pp. 219-225, IEEE Computer Society, Los Alamitos, CA, 2011. doi:10.1109/KSE.2011.42)
  32. Roberto Legaspi, Danaipat Sodkomkham, Kazuya Maruo, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Time-Interval Clustering in Sequential Pattern Recognition Towards Predictive Modeling of Human Characteristics”. Proc. Workshop on Computation: Theory and Practice (WCTP), pp. 174-186, Quezon City, Philippines, 2011.
  33. Roberto Legaspi, Danaipat Sodkomkham, Kazuya Maruo, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Clustering Multiple and Flexible Time Intervals in Sequential Patterns Towards Predictive Modeling of Human Gait Behavior”. Proc. International Workshop on Finding Patterns of Human Behaviors in Network and Mobility Data (NEMO), pp. 40-51, Athens, Greece, 2011.
  34. Kazuya Maruo, Danaipat Sodkomkham, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Mining Frequent Sequences with Flexible Time Intervals”, Proc. 1st International Workshop of Sensor Data Mining (IWSDM), pp. 14-19, Penghu, Taiwan, 2011.
  35. Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Evolving Subjective Utilities: Prisoner’s Dilemma Game Examples”. Proc. 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 233-240, Taipei, Taiwan, (IFAAMAS, Richland, SC), 2011. (PDF in IFAAMAS Webpage)
  36. Kazuya Maruo, Danaipat Sodkomkham, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Mining Frequent Sequences with Flexible Time Intervals”. The 5th International Workshop on Data-Mining and Statistical Science (DMSS), Osaka, Japan, 2011.
  37. Simón E. Ortiz B., Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao: “Three-Subagent Adapting Architecture for Fighting Videogames”. Proc. 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 649-654, Daegu, Korea, (LNAI 6230, Springer, Berlin/Heidelberg), 2010. doi:10.1007/978-3-642-15246-7_64
  38. Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao, and Merlin Suarez: “Addressing the Problems of Data-Centric Physiology-Affect Relations Modeling”. Proc. 2010 International Conference on Intelligent User Interfaces (IUI), pp. 21-31, Hong Kong, China, (ACM Press, New York), 2010. doi:10.1145/1719970.1719974
  39. Koichi Moriyama: “Learning-Rate Adjusting Q-learning for Two-Person Two-Action Symmetric Games”. Proc. 3rd KES Symposium on Agent and Multi-Agent Systems — Technologies and Applications (KES-AMSTA), pp. 223-232, Uppsala, Sweden, (LNAI 5559, Springer, Berlin/Heidelberg), 2009. doi:10.1007/978-3-642-01665-3_23
  40. Koichi Moriyama: “Learning-Rate Adjusting Q-learning for Prisoner’s Dilemma Games”. Proc. 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), pp. 322-325, Sydney, Australia, (IEEE Computer Society, Los Alamitos, CA), 2008. doi:10.1109/WIIAT.2008.170
  41. Roberto Legaspi, Satoshi Kurihara, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Self-improving Empathy Learning”. Proc. 5th International Conference on Information Technology and Applications (ICITA), pp. 88-93, Cairns, Australia, (Macquarie Scientific Publishing, Bathurst, NSW, Australia, ISBN: 9780980326727), 2008.
  42. Nagayoshi Yamashita, Koichi Moriyama, Masayuki Numao, and Satoshi Kurihara: “Web Page Classification Based on Structural Equivalence”. Proc. 5th International Conference on Information Technology and Applications (ICITA), pp. 472-477, Cairns, Australia, (Macquarie Scientific Publishing, Bathurst, NSW, Australia, ISBN: 9780980326727), 2008.
  43. Roberto Legaspi, Satoshi Kurihara, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “An Empathy Learning Problem for HSI: To Be Empathic, Self-improving and Ambient”. Proc. 2008 Conference on Human System Interaction (HSI), pp. 209-214, Krakow, Poland, (IEEE, Piscataway, NJ), 2008. doi:10.1109/HSI.2008.4581435
  44. Toshihito Sugimoto, Roberto Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Modelling Affective-based Music Compositional Intelligence with the Aid of ANS Analyses”. Proc. 27th SGAI International Conference on Artificial Intelligence (AI), pp. 95-108, Cambridge, U.K., (Springer, London), 2007. doi:10.1007/978-1-84800-094-0_8
  45. Koichi Moriyama: “Utility Based Q-learning to Maintain Cooperation in Prisoner’s Dilemma Games”. Proc. 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT), pp. 146-152, Fremont, California, U.S.A., (IEEE Computer Society, Los Alamitos, CA), 2007. doi:10.1109/IAT.2007.60
  46. Seiichi Honda, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Extracting Human Behaviors with Infrared Sensor Network”. Proc. 4th International Conference on Networked Sensing Systems (INSS), pp. 122-125, Braunschweig, Germany, (IEEE, Piscataway, NJ), 2007. doi:10.1109/INSS.2007.4297404
  47. Hiroshi Tamaki, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Automatic Acquisition of Sensor-Network Topology Based on Pheromone Communication Model”. Proc. 4th International Conference on Networked Sensing Systems (INSS), p. 292, Braunschweig, Germany, (IEEE, Piscataway, NJ), 2007. doi:10.1109/INSS.2007.4297434
  48. Koichi Moriyama, Mitsuhiro Matsumoto, Ken-ichi Fukui, Satoshi Kurihara, and Masayuki Numao: “Reinforcement Learning on a Futures Market Simulator”. Proc. 1st KES Symposium on Agent and Multi-Agent Systems — Technologies and Applications (KES-AMSTA), pp. 42-52, Wroclaw, Poland, (LNAI 4496, Springer, Berlin/Heidelberg), 2007. doi:10.1007/978-3-540-72830-6_5
  49. Roberto Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Music Compositional Intelligence with an Affective Flavor”. Proc. ACM International Conference on Intelligent User Interfaces (IUI), pp. 216-224, Honolulu, Hawaii, U.S.A., (ACM Press, New York), 2007. doi:10.1145/1216295.1216335
  50. Roberto Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Using Multiple-Part Learning and a Genetic Algorithm to Compose Emotion-Inducing Tunes”. Proc. International Workshop on Artificial Intelligence and Music (Music-AI), pp. 59-70, Hyderabad, India, 2007.
  51. Satoshi Kurihara, Seiichi Honda, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao, Kensuke Fukuda, Toshio Hirotsu, Toshihiro Takada, and Toshiharu Sugawara: “Getting Daily Human Habitual Behaviours from Infrared Sensor Network”. Proc. 3rd International Conference on Networked Sensing Systems (INSS), p. 142, Rosemont, Illinois, U.S.A., (Transducer Research Foundation, San Diego, CA, ISBN: 0974361135), 2006.
  52. Xiaodong Lu, Ivan Luque, Miho Kanda, Yanqing Jiang, Koichi Moriyama, Kinji Mori, Ryuji Takanuki, and Yasushi Kuba: “Autonomous Network-Based Information Services Integration for High Response in Multi-Agent Information Service Systems”. Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 51-58, Chengdu, China, (IEEE Computer Society, Los Alamitos, CA), 2005. doi:10.1109/ISADS.2005.1452017
  53. Miho Kanda, Misato Tasaka, Xiaodong Lu, Ivan Luque, Yanqing Jiang, Koichi Moriyama, Ryuji Takanuki, and Yasushi Kuba: “Autonomous Video-on-demand System for Heterogeneous Quality Levels to Achieve High Assurance”. Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 133-140, Chengdu, China, (IEEE Computer Society, Los Alamitos, CA), 2005. doi:10.1109/ISADS.2005.1452037
  54. Ivan Luque, Xiaodong Lu, Miho Kanda, Koichi Moriyama, Yasushi Kuba, and Ryuji Takanuki: “Autonomous Decentralized Service Level Management for Real-Time Assurance”. Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 141-148, Chengdu, China, (IEEE Computer Society, Los Alamitos, CA), 2005. doi:10.1109/ISADS.2005.1452038
  55. Khaled Ragab, Koichi Moriyama, Hisayuki Kuriyama, Yuji Horikoshi, and Yousuke Sugiyama: “An Autonomous Decentralized Community Overly Network Division and Integration Technology for Achieving Timeliness”. Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 321-327, Chengdu, China, (IEEE Computer Society, Los Alamitos, CA), 2005. doi:10.1109/ISADS.2005.1452077
  56. Yousuke Sugiyama, Yuji Horikoshi, Hisayuki Kuriyama, and Koichi Moriyama: “Service Search Technology in Autonomous Decentralized Community System for Timeliness”. Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 336-343, Chengdu, China, (IEEE Computer Society, Los Alamitos, CA), 2005. doi:10.1109/ISADS.2005.1452079
  57. Koichi Moriyama: “Learning Desirable Actions in Two-Player Two-Action Games”. Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 495-500, Chengdu, China, (IEEE Computer Society, Los Alamitos, CA), 2005. doi:10.1109/ISADS.2005.1452119 (or Final draft PDF)
  58. Yanqing Jiang, Xiaodong Lu, Ivan Luque, Miho Kanda, Koichi Moriyama, Ryuji Takanuki, and Yasushi Kuba: “Autonomous Node Reallocation for Achieving Load Balance under Changing Users’ Preference”. The 3rd International Workshop on Autonomous Decentralized Systems, Chengdu, China, 2005. (included in Proc. 2005 IEEE International Symposium on Autonomous Decentralized Systems (ISADS), pp. 624-629, IEEE Computer Society, Los Alamitos, CA, 2005. doi:10.1109/ISADS.2005.1452150)
  59. Khaled Ragab, Naohiro Kaji, Koichi Moriyama, and Kinji Mori: “Scalable Multilateral Communication Technique for Large-Scale Information Systems”. Proc. 27th Annual International Computer Software and Application Conference (COMPSAC), pp. 222-227, Dallas, Texas, U.S.A., (IEEE Computer Society, Los Alamitos, CA), 2003. doi:10.1109/CMPSAC.2003.1245345
  60. Koichi Moriyama and Masayuki Numao: “Self-Evaluated Learning Agent in Multiple State Games”. Proc. 14th European Conference on Machine Learning (ECML), pp. 289-300, Cavtat-Dubrovnik, Croatia, (LNAI 2837, Springer, Berlin/Heidelberg), 2003. doi:10.1007/978-3-540-39857-8_27 (or Final draft PDF)
  61. Koichi Moriyama and Masayuki Numao: “Construction of a Learning Agent Handling Its Rewards According to Environmental Situations”. Proc. 1st International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pp. 1262-1263, Bologna, Italy, (ACM Press, New York), 2002. doi:10.1145/545056.545110 (or Final draft PDF)
  62. Koichi Moriyama and Masayuki Numao: “Constructing an Autonomous Agent with an Interdependent Heuristics”. Proc. 6th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 329-339, Melbourne, Australia, (LNAI 1886, Springer, Berlin/Heidelberg), 2000. doi:10.1007/3-540-44533-1_35 (or Final draft PDF)

 

Books

  1. Danaipat Sodkomkham, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara and Masayuki Numao: “Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors”. In Martin Atzmueller, Alvin Chin, Christoph Scholtz, and Christoph Trattner (eds.), Mining, Modeling, and Recommending ‘Things’ in Social Media, LNAI 8940, pp. 131-149, Springer, Berlin/Heidelberg, 2015. doi:10.1007/978-3-319-14723-9_8
  2. Paul Salvador Inventado, Roberto Legaspi, Koichi Moriyama, Ken-ichi Fukui, and Masayuki Numao: “Building Policies for Supportive Feedback in Self-Directed Learning Scenarios”. In Shin-ya Nishizaki, Masayuki Numao, Jaime D. L. Caro, and Merlin Teodosia C. Suarez (eds.), Theory and Practice of Computation, pp. 144-155, World Scientific, Singapore, 2014. doi:10.1142/9789814612883_0010
  3. Ira Puspitasari, Ken-ichi Fukui, Koichi Moriyama, and Masayuki Numao: “Health Information Search Personalization with Semantic Network User Model” In Shin-ya Nishizaki, Masayuki Numao, Jaime D. L. Caro, and Merlin Teodosia C. Suarez (eds.), Theory and Practice of Computation, pp. 168-177, World Scientific, Singapore, 2014. doi:10.1142/9789814612883_0012
  4. Roberto Legaspi, Danaipat Sodkomkham, Kazuya Maruo, Kenichi Fukui, Koichi Moriyama, Satoshi Kurihara, and Masayuki Numao: “Time-Interval Clustering in Sequential Pattern Recognition Towards Predictive Modeling of Human Characteristics”. In Shin-ya Nishizaki, Masayuki Numao, Jaime Caro, and Merlin Teodosia Suarez (eds.), Theory and Practice of Computation, pp. 174-186, PICT 5, Springer Japan, Tokyo, 2012. doi:10.1007/978-4-431-54106-6_14
  5. R. Legaspi, K. Fukui, K. Moriyama, S. Kurihara, and M. Numao: “Positing a Growth-Centric Approach in Empathic Ambient Human-System Interaction”. In Z. S. Hippe and J. L. Klikowski (eds.), Human-Computer Systems Interaction, pp. 233-244, Springer, Berlin/Heidelberg, 2009. doi:10.1007/978-3-642-03202-8_19

 

Domestic Conferences & Workshops

See the Japanese page.

 

Miscellaneous

  1. Koichi Moriyama and Masayuki Numao: “Generating Self-Evaluations to Learn Appropriate Actions in Various Games”. Technical Report TR03-0002, Department of Computer Science, Tokyo Institute of Technology, 2003. (PDF in Tokyo Tech)