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J-GLOBAL ID：201101028332251358   Update date: Mar. 16, 2024

Sugawara Toshiharu

スガワラ トシハル | Sugawara Toshiharu
Affiliation and department：
Waseda University Faculty of Science and Engineering School of Fundamental Science and Engineering

About Waseda University Faculty of Science and Engineering School of Fundamental Science and Engineering


Job title： Professor
Homepage URL  (1)： https://www.sugawara.org/profile
Research field  (4)： Intelligent informatics ,  Soft computing ,  Software ,  Information networks
Research keywords  (8)： Complex Networks ,  Soft computing ,  Computational Social Science ,  Social informatics ,  Artificial intelligence ,  Computational social networks ,  Machine learning in multi-agent contexts ,  Autonomous agent and Multi-agent system
Research theme for competitive and other funds  (19)：
  • 2020 - 2024 Studies on autonomous learning of agents' organizational formation for system efficiency
  • 2017 - 2021 Improving sustainability, flexibility, and robustness of artifactitious systems using emergence of divisional cooperation
  • 2015 - 2018 Design and Implementation of System Management Software for Multi-scale SDN
  • 2013 - 2017 Research on autonomous construction of organizational structures and its effect on the efficiency of assignment problem in a multi-agent system
  • 2011 - 2014 Study on norm emergence and its stability in conflict situations of heterogeneous agent network society
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Papers (386)：
  • Yoshie Suzuki, Stephen Raharja, Toshiharu Sugawara. Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2024
  • Yoshinari Motokawa, Toshiharu Sugawara. Strategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction. Proceedings of 27th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2023). 2023
  • Gentoku Nakasone, Toshiharu Sugawara. Interpretation Using Classified Gradient-Based Saliency Maps for Two-Player Board Games. Proceedings of the IEEE Conference on Games 2023 (IEEE CoG 2023). 2023
  • Yoshinari Motokawa, Toshiharu Sugawara. eDA3-X: Distributed Attentional Actor Architecture for Interpretability of Coordinated Behaviors in Multi-Agent Systems. Applied Sciences (Switzerland). 2023. 13. 14
  • Yoshinari Motokawa, Toshiharu Sugawara. Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. Proceedings of The 2023 International Joint Conference on Neural Networks (IJCNN 2023). 2023. 2023-June
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MISC (214)：
  • Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara. User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. 2023
  • Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara. Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning. CoRR. 2023
  • 植木辰太郎, 鳥海不二夫, 菅原俊治. 消費者生成メディアの金銭報酬付与形態に対するユーザの立場に応じた戦略変化の調査. 電子情報通信学会技術研究報告(Web). 2023. 123. 190(AI2023 1-36)
  • 島田大輝, 宮下裕貴, 菅原俊治. マルチエージェント搬送問題における柔軟な時間窓を利用した優先度継承法の拡張. 電子情報通信学会技術研究報告(Web). 2023. 123. 190(AI2023 1-36)
  • 元川善就, 菅原俊治. sfDA6-X:マルチエージェント深層強化学習における戦略指令に基づいた協調行動の操作性検証. 電子情報通信学会技術研究報告(Web). 2023. 123. 190(AI2023 1-36)
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Books (11)：
  • PRIMA 2012: Principles and Practice of Multi-Agent Systems
    Springer (LNCS/LNAI 7455) 2012 ISBN:9783642327292
  • Indirect Coordination Mechanism of MAS (book chapter in "Multiagent Systems")
    IN-TECH 2009 ISBN:9783902613516
  • Massively Multi-Agent Technology
    Springer (LNCS) 2008 ISBN:9783540854487
  • How Collective Intelligence Emerge in the Standard Minority Game, (book chapter)
    The Complex Networks of Economic Interactions Essays in Agent-Based Economics and Econophysics, Lecture Notes in Economics and Mathematical Systems, Springer 2006 ISBN:3540287264
  • Multi-Agent Human-Environment Interaction Framework for the Ubiquitous Environment, (book chapter)
    Massively Multi-Agent Systems I, Springer 2005
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Lectures and oral presentations  (4)：
  • Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning
    (Presentation at the 9th International Conference on Computational Social Science (IC2S2) 2023)
  • 限界効用逓減の法則を考慮したSNSモデルによるレシピ共有SNSの再現のためのパラメータ推定
    (第15回ネットワーク生態学シンポジウム 2018)
  • マルチエージェントシステムにおける効率的な競合解消のための社会的慣習の獲得学習の一実験
    (第7回ネットワークが創発する知能研究会(JWEIN'11)第52回数理社会学会(JAMS52)合同大会 2011)
  • A clustering method using graph and synchronization
    (Proceedings of FIT2009 (referred) 2009)
Education (1)：
  • - 1982 Waseda University Graduate School,Science and Engineering Department of Mathematics
Professional career (1)：
  • Ph. D. in Engineering (Waseda University)
Work history (6)：
  • 2007/04 - current: Full-time professor, Waseda University
  • 1982/04 - 2007/03 : Research Scientist, NTT Laboratories
  • 2003 - 2007 : Partime lecturer, University of Electro-Communications
  • 2004 - 2006 : Parttime lecturer, Waseda Uniersit
  • 1992 - 1993 Visiting researcher, University of Massachusetts at Amherst Computer Science
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Awards (13)：
  • 2022/06 - The institute is an international organization concerned with electronics Best Paper Award in 2021 Fair and Effective Elevator Car Dispatching Method for Elevator Group Control System using Noisy Information from Cameras
  • 2018/09 - Joint Agent Workshops and Symposium 2018 Best Paper Award -- JAWS2018
  • 2018/08 - Japanese Society of Software Science and Technology (JSSST) The 22nd Research Paper Award Detecting malicious domains with probabilistic threat propagation on DNS graph
  • 2015/10 - Joint Agent Workshops and Symposium 2015 Best paper award -- JAWS2015 Fair Assessment Method for Group Work by Mutual Evaluation Using Trust Network
  • 2015/04 - ACM SAC Best paper award, ACM SAC 2015 Meta-Strategy for Cooperative Tasks with Learning of Environments in Multi-Agent Continuous Tasks
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Association Membership(s) (9)：
IEEE SMC ,  Association for the Advancement of Artificial Intelligence ,  IEEE Computer Society ,  The Institute of Electronics, Information and Communication Engineers (IEICE) ,  Information Processing Society of Japan (IPSJ) ,  Japanese Society for Artificial Intelligence (JSAI) ,  Japanese Society for Software Science and Technology (JSSST) ,  IEEE Computational Intelligence Society ,  Association for Computing Machinery (ACM)
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