SUGAWARA, Toshiharu

J-GLOBAL         Last updated: Oct 3, 2019 at 14:48
 
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Name
SUGAWARA, Toshiharu
E-mail
sugawarawaseda.jp
URL
http://www.isl.cs.waseda.ac.jp/~sugawara/
Affiliation
Waseda University
Section
Faculty of Science and Engineering School of Fundamental Science and Engineering
Job title
Professor
Degree
Ph. D. in Engineering(Waseda University)
Research funding number
70396133

Profile

Toshiharu Sugawara is a professor of Department of Computer Science and Engineering, Waseda University, Japan, since April, 2007. He
received his B.S. and M.S. degrees in Mathematics, 1980 and 1982,
respectively, and a Ph.D, 1992, from Waseda
University. In 1982, he joined Basic Research Laboratories, Nippon
Telegraph and Telephone Corporation. From 1992 to 1993, he was a
visiting researcher in Department of Computer Science, University of
Massachusetts at Amherst, USA. His research interests include multi-agent
systems, distributed artificial intelligence, machine learning, internetworking, and network management. He is a member of IEEE, ACM,
AAAI, Internet Society, The Institute of Electronics, Information and
Communication Engineers (IEICE), Information Processing Society of Japan
(IPSJ), Japan Society for Software Science and Technology (JSSST), and
Japanese Society of Artificial Intelligence (JSAI).

Research Areas

 
 

Academic & Professional Experience

 
Apr 1982
 - 
Mar 2007
: Research Scientist, NTT Laboratories
 
1990
 - 
1991
: Parttime lecturer, Tokyo University of Agriculture and Technology
 
1992
 - 
1993
Visiting researcher, University of Massachusetts at Amherst
 
2003
 - 
2007
: Partime lecturer, University of Electro-Communications
 
2004
 - 
2006
: Parttime lecturer, Waseda Uniersit
 
Apr 2007
   
 
current: Full-time professor, Waseda University
 

Awards & Honors

 
Sep 2018
Best Paper Award -- JAWS2018, Joint Agent Workshops and Symposium 2018
 
Aug 2018
Detecting malicious domains with probabilistic threat propagation on DNS graph, The 22nd Research Paper Award, Japanese Society of Software Science and Technology (JSSST)
 
Oct 2015
Fair Assessment Method for Group Work by Mutual Evaluation Using Trust Network, Best paper award -- JAWS2015, Joint Agent Workshops and Symposium 2015
Winner: Yumeno Shiba; Toshiharu Sugawara
 
Apr 2015
Meta-Strategy for Cooperative Tasks with Learning of Environments in Multi-Agent Continuous Tasks, Best paper award, ACM SAC 2015, ACM SAC
 
Oct 2014
Autonomous Strategy Learning in Unknown Environment for Multi-agent Continuous Cleaning Task, Best paper award -- JAWS2014, Joint Agent Workshops and Symposium 2014
Winner: Ayumi Sugiyama and Toshiharu Sugawara
 

Books etc

 
PRIMA 2012: Principles and Practice of Multi-Agent Systems
Iyad Rahwan, Wayne Wobcke, Sandip Sen and Toshiharu Sugawara (Eds.)
Springer (LNCS/LNAI 7455)   Sep 2012   ISBN:978-3-642-32729-2
Indirect Coordination Mechanism of MAS (book chapter in "Multiagent Systems")
Satoshi Kurihara, Kensuke Fukuda, Shinya Sato and Toshiharu Sugawara
IN-TECH   Feb 2009   ISBN:978-3-902613-51-6
Massively Multi-Agent Technology
Nadeem Jamali, Paul Scerri and Toshiharu Sugawara (Eds.)
Springer (LNCS)   Aug 2008   ISBN:978-3-540-85448-7
How Collective Intelligence Emerge in the Standard Minority Game, (book chapter)
Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi and Toshiharu Sugawara
The Complex Networks of Economic Interactions Essays in Agent-Based Economics and Econophysics, Lecture Notes in Economics and Mathematical Systems, Springer   2006   ISBN:3-540-28726-4
Multi-Agent Human-Environment Interaction Framework for the Ubiquitous Environment, (book chapter)
Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada, Toshiharu Sugawara
Massively Multi-Agent Systems I, Springer   Jul 2005   

Published Papers

 
Multiple-World Genetic Algorithm to Identify Locally Reasonable Behaviors in Complex Social Networks
Yutaro Miura, Fujio Toriumi and Toshiharu Sugawara
Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019)      Oct 2019   [Refereed]
Dynamic Analysis of Evolutional Strategies on Co-evolutionary Learning Model of Social Networking Services
Yutaro Miura, Fujio Toriumi and Toshiharu Sugawara
Proceedings of the 18th Joint Agent Workshop (JAWS2019)      Sep 2019   [Refereed]
Territory adaptation with demand prediction for Ride-sharing
Naoki Yoshida, Itsuki Nosa and Toshiharu Sugawara
Proceedings of the 18th Joint Agent Workshop (JAWS2019)      Sep 2019   [Refereed]
Coordination in Collaborative Work by Deep Reinforcement Learning with Various StateDescription
Yuki Miyashita and Toshiharu Sugawara
Proceedings of the 18th Joint Agent Workshop (JAWS2019)      Sep 2019   [Refereed]
Improve efficiency of multi-agent patrolling by using efficient graph partitioning
Katsuya Hattori, Toshiharu Sugawara
Proceedings of the 18th Joint Agent Workshop (JAWS2019)   online   Sep 2019   [Refereed]
Yuki Miyashita,Toshiharu Sugawara
Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I   541-554   Sep 2019   [Refereed]
Ayumi Sugiyama; Vourchteang Sea; Toshiharu Sugawara
Knowledge and Information Systems, An International Journal   60(3) 1587-1609   Sep 2019   [Refereed]
We propose a learning and negotiation method to enhance divisional cooperation and demonstrate its flexibility for adapting to environmental changes in the context of the multi-agent cooperative problem. We now have access to a vast array of infor...
Tomoki Yamauchi, Rina Ide and Toshiharu Sugawara
Proceedings of 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2019), Procedia Computer Science,      Sep 2019   [Refereed]
Energy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems
Lingying Wu, Ayumi Sugiyama and Toshiharu Sugawara
Proceedings of 23rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2019), Procedia Computer Science      Sep 2019   [Refereed]
Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara
GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion   297-298   Jul 2019   [Refereed]
© 2019 Copyright held by the owner/author(s). Publication rights licensed to the Association for Computing Machinery. We propose a novel method for evolutionary network analysis that uses the genetic algorithm (GA), called the multiple world genet...
Yuki Miyashita,Toshiharu Sugawara
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019   2129-2131   May 2019   [Refereed]
Elhadji Amadou Oury Diallo; Ayumi Sugiyama; Toshiharu Sugawara
Neurocomputing   (採択済み)    Apr 2019   [Refereed]
In this work, we focus on an environment where multiple agents with complementary capabilities cooperate to generate non-conflicting joint actions that achieve a specific target. The central problem addressed is how several agents can collectively...
Ayumi Sugiyama, Lingying Wu and Toshiharu Sugawara
Proceedings of the 11th International Conference on Agents and Artificial Intelligence   1 62-71   Feb 2019   [Refereed]
We propose a learning method that decides the appropriate activity cycle length (ACL) according to environmental characteristics and other agents' behavior in the (multi-agent) continuous cooperative patrol problem. With recent advances in compute...
Elhadji Amadou Oury Diallo and Toshiharu Sugawara
The NeurIPS 2018 Workshop on Reinforcement Learning under Partial Observability (RLPO 2018)   online    Dec 2018   [Refereed]
We examine whether a team of agents can learn geometric and strategic group formations by using deep reinforcement learning in adversarial multi-agent systems.This is a significant point underlying the control and coordination of multiple autonomo...
Elhadji Amadou Oury Diallo; Toshiharu Sugawara
Proceedings of the 21st International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2018),   LNCS 11224 458-466   Nov 2018   [Refereed]
We examine whether a team of agents can learn geometric and strategic group formations by using deep reinforcement learning in adversarial multi-agent systems. This is a significant point underlying the control and coordination of multiple autonom...
飯嶋 直樹, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara
IEICE Transactions on Information and Systems D   J101-D(9) 1265-1275   Sep 2018   [Refereed]
近年の計算技術の発達は様々な情報と機能を組み合わせたサービスの提供を可能にしている.それらサービスの実行にはタスクを適切な計算資源(エージェント)に割当てる必要があるが,大量のタスクが継続的に発生する環境でそれらの要求に合ったエージェントを割当てるのは困難である.本研究ではシステム全体で追及する効用(タスクの価値や処理タスク数,処理時間などのシステムの共通的効用)に加え,個々のエージェントの特徴や能力に基づく個別選好も考慮できるタスク割当問題を提案する.その問題に対し,エージェントが動的に...
Deep Q-Networkを用いたマルチエージェントの分散協調探索問題における分業の創発
Yuki Miyashita, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2018)      Sep 2018   [Refereed]
カメラを用いたエレベータ群管理システムにおける優先対象者モデルの提案と検証
Tomoki Yamauchi, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2018)      Sep 2018   [Refereed]
複数車線での渋滞緩和エージェントモデル導入の提案と評価
Yuka Ishihara, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2018)      Sep 2018   [Refereed]
Ryoya Funato; Toshiharu Sugawara
Proceedings of the IEEE 3rd International Conference on Agents   IEEE Xplore 50-54   Jul 2018   [Refereed]
Yu Yoshimura; Ayumi Sugiyama; Toshiharu Sugawara
IPSJ Transactions on Mathematical Modeling and its Applications (TOM)   11(2) 50-62   Jul 2018   [Refereed]
We propose a method for enabling agents to autonomously divide the given environment into the subareas for the individual responsibilities through negotiations between local agents in the environment where communication range is limited. Recent ad...
Vourchteang Sea; Sugiyama Ayumi; Sugawara Toshiharu
Proceedings of the 15th International Conference Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018)   LNCS 10848 530-545   Jun 2018   [Refereed]
Multi-agent patrolling problem has received growing attention from many researchers due to its wide range of potential applications. In realistic environment, e.g., security patrolling, each location has different visitation requirement according ...
Yutaro Miura; Fujio Toriumi; Toshiharu Sugawara
Proceedings of the 26th International Conference on World Wide Web Companion (WWW '18 Companion, Presented at the 9th International Workshop on Modeling Social Media (MSM 2018): Applying Machine Learning and AI for Modeling Social Media)   1323-1329   Apr 2018   [Refereed]
We propose a model of a social networking service (SNS) with diminishing marginal utility in the framework of evolutionary computing and present our investigation on the effect of diminishing marginal utility on the dominant structure of strategie...
Elhadji Amadou Oury Diallo,Toshiharu Sugawara
PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29 - November 2, 2018, Proceedings   458-466   2018   [Refereed]
Vourchteang Sea,Ayumi Sugiyama,Toshiharu Sugawara
Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 15th International Conference, CPAIOR 2018, Delft, The Netherlands, June 26-29, 2018, Proceedings   530-545   2018   [Refereed]
Elhadji Diallo; Ayumi Sugiyama; Toshiharu Sugawara
Proceedings of 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017)   14-19   Dec 2017   [Refereed]
Otsuka; Tomoaki; Sugawara; Toshiharu
Complex Networks and Their Applications VI, Proceedings of the 6th International Conference on Complex Networks and their Applications (Complex Networks 2017)   Studies in Computational Intel 815-828   Dec 2017   [Refereed]
© Springer International Publishing AG 2018. We present an interaction strategy with reinforcement learning to promote mutual cooperation among agents in complex networks. Networked computerized systems consisting of many agents that are delegates...
Masashi Hayano; Naoki Iijima; Toshiharu Sugawara
Proceedings of The 15th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2017)   589-596   Nov 2017   [Refereed]
Naoki Iijima; Ayumi Sugiyama; Masashi Hayano; Toshiharu Sugawara
Proceedings of 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), Procedia Computer Science   112 91-98   Sep 2017   [Refereed]
分散環境における希望順位戦略の学習機能を備えたタスク割り当て手法の提案と評価
飯嶋直輝, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2017)      Sep 2017   [Refereed]
継続協調巡回問題における分業創発と環境変化への追従性
Ayumi Sugiyama, Vourchteang Sea; Masashi Hayano, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2017)      Sep 2017   [Refereed]
マルチエージェント探索問題におけるフィルタリングと粗視化を用いた統合手法と領域分割手法の比較
湯徳尊久, Ayumi Sugiyama, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS 2017)      Sep 2017   [Refereed]
Coordinated Behavior by Deep Reinforcement Learning in Doubles Pong Game
Elhadji Amadou Oury DIALLo; Ayumi Sugiyama, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2017)      Sep 2017   [Refereed]
Otsuka; Tomoaki; Sugawara; Toshiharu
Proceedings of 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017)   483-490   Aug 2017   [Refereed]
© 2017 ACM. This paper proposes an interaction strategy called the extended expectation-of-cooperation (EEoC) that is intended to spread cooperative activities in prisoner's dilemma situations over an entire agent network. Recently developed compu...
Ayumi Sugiyama; Toshiharu Sugawara
15th International Conference on Practical Applications of Agents and Multi-Agent Systems(PAAMS 2017)   LNCS 10349 259-271   Jun 2017   [Refereed]
We propose a learning and negotiation method to enhance divisional cooperation and demonstrate its robustness to environmental changes in the context of the multi-agent cooperative problem. With the ongoing advances in information and communicatio...
Kengo Osaka; Fujio Toriumi; Toshiharu Sugawara
Computational Social Networks   4(2)    May 2017   [Refereed]
Background
Social networking services (SNSs) are widely used as communicative tools for a variety of purposes. SNSs rely on the users’ individual activities associated with some cost and effort, and thus it is not known why users voluntarily conti...
Naoki Iijima; Masashi Hayano; Ayumi Sugiyama; Toshiharu Sugawara
Proceedings of the 21st Conference on Technologies and Applications of Artificial Intelligence (TAAI 2016)   24-31   Mar 2017   [Refereed]
© 2016 IEEE. This paper proposes a task allocation method in which, although social utility is attempted to be maximized, agents also give weight to individual preferences based on their own specifications and capabilities. Due to the recent advan...
Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara
Agents and Artificial Intelligence   LNAI 10162 37-55   Feb 2017   [Refereed]
© Springer International Publishing AG 2017.This paper proposes a control method for in agents by switching their behavioral strategy between rationality and reciprocity depending on their internal states to achieve efficient team formation. Advan...
Vourchteang Sea; Chihiro Kato; Toshiharu Sugawara
Journal of Information Processing   25(1) 75-87   Jan 2017   [Refereed]
We describe a method for decentralized task/area partitioning for coordination in cleaning/sweeping domains with learning to identify the easy-to-dirty areas. Ongoing advances in computer science and robotics have led to applications for covering ...
Vourchteang Sea; Chihiro Kato; Toshiharu Sugawara
Journal of Information Processing   25(1) 75-87   Jan 2017   [Refereed]
We describe a method for decentralized task/area partitioning for coordination in cleaning/sweeping domains with learning to identify the easy-to-dirty areas. Ongoing advances in computer science and robotics have led to applications for covering ...
Osaka; Kengo; Toriumi; Fujio; Sugawara; Toshiharu
Complex Networks and Their Applications V, Proceedings of the 5th International Workshop on Complex Networks and their Applications (Complex Networks 2016)   Studies in Computational Intel 411-422   Dec 2016   [Refereed]
© Springer International Publishing AG 2017.This paper investigates the effect of direct reciprocity on voluntary participation in social networking services (SNS) by modeling them as a type of public goods (PG) game. Because the fundamental struc...
Yumeno Shiba; Toshiharu Sugawara
Transactions of the Japanese Society for Artificial Intelligence   31(6) AG-C_1-AG-C_10   Nov 2016   [Refereed]
Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara
Transactions of the Japanese Society for Artificial Intelligence   31(6) AG-F_1-AG-F_11   Nov 2016   [Refereed]
Sugiyama; Ayumi; Sea; Vourchteang; Sugawara; Toshiharu
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016)   33-40   Nov 2016   [Refereed]
© 2016 IEEE.This paper proposes an effective autonomous task allocation method that can achieve efficient cooperative work by divisional cooperation in multi-Agent contexts. Computer and network technology has enabled agents/robots to behave auton...
Yuta KAZATo; Kensuke FUKUDa; Toshiharu SUGAWARA
Computer Software   33(3) 16-28   Oct 2016   [Refereed]
This paper proposes a method to estimate malicious domain names from a large scale DNS query response dataset. The key idea of the work is to leverage the use of DNS graph that is a bipartite graph consisting of domain names and corresponding IP a...
Yuta KAZATo; Kensuke FUKUDa; Toshiharu SUGAWARA
Computer Software   33(3) 16-28   Oct 2016   [Refereed]
This paper proposes a method to estimate malicious domain names from a large scale DNS query response dataset. The key idea of the work is to leverage the use of DNS graph that is a bipartite graph consisting of domain names and corresponding IP a...
協調期待戦略による協調促進の頑健性について
大塚 知亮, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2016)      Sep 2016   [Refereed]
マルチエージェント継続巡回問題における分割的協調のための効率的な自律的タスク割当手法
Ayumi Sugiyama, Sea Vourchteang, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2016)      Sep 2016   [Refereed]
カメラによる人数推定を考慮したエレベータ群管理システム
井手 理菜, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2016)      Sep 2016   [Refereed]
Ryosuke Shibusawa; Tomoaki Otsuka; Toshiharu Sugawara
Proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2016)   LNCS 9862 76-91   Aug 2016   [Refereed]
© Springer International Publishing Switzerland 2016.This paper proposes a behavioral strategy called expectation of cooperation with which cooperation in the prisoner’s dilemma game spreads over agent networks by incorporating Q-learning. Recent ...
Yeh; Chiawei; Sugawara; Toshiharu
Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016   65-70   Aug 2016   [Refereed]
© 2016 IEEE.The coalition structure generation problem is now a big issue in the field of multi-agent systems. With many agents working in the same environment, cooperation may become a key point to complete a mission efficiently. This problem can...
Hirahara; Yuki; Toriumi; Fujio; Sugawara; Toshiharu
New Generation Computing   34(3) 273-290   Aug 2016   [Refereed]
© 2016, Ohmsha and Springer Japan.We propose an SNS-norms game to model behavioral strategies in social networking services (SNSs) and investigate the conditions required for the evolution of cooperation-dominant situations. SNSs such as Facebook ...
Kengo Saito; Toshiharu Sugawara
Proceedings of 10th International KES Conference on Agents and Multi-Agent Systems: Technologies and Applications, Smart Innovation, Systems and Technologies Series   58 33-44   Jun 2016   [Refereed]
Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara
Coordination, Organizations, Institutions, and Norms in Agent Systems XI (COIN book 2015)   LNAI 9628 262-281   May 2016   [Refereed]
© Springer International Publishing Switzerland 2016.We describe the reciprocal agents that build virtual associations in accordance with past cooperative work in a bottom-up manner and that allocate tasks or resources preferentially to agents in ...
Ryosuke Shibusawa; Tomoaki Otsuka; Toshiharu Sugawara
Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS2016)   1333-1334   May 2016   [Refereed]
Effect of Direct Reciprocity on Social Networking Services
Kengo Osaka; Fujio Toriumi;Toshiharu Sugawara,
Proceedings of the 6th International Workshop on Emergent Intelligence on Networked Agents, WEIN-16, (held in conjunction with of the 15th International Conference on Autonomous Agents and Multiagent Systems)   9-16   May 2016   [Refereed]
Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara
Proceedings of the 8th International Conference on Agents and Artificial Intelligence   56-65   Feb 2016   [Refereed]
Fair and Accurate Assessment Method for GroupWork by Mutual Evaluation by Interative Trust Network Calculation
Shiba Yumeno; Sugawara Toshiharu
Transactions of the Japanese Society for Artificial Intelligence   31(6) AG-C_1-10   Jan 2016   [Refereed]
<p>We propose a fair and accurate peer assessment method for group work using a multi-agent trust network. Although group work is an effective educational method, accurately assessing individual students is not easy. Mutual evaluation is often use...
Effective Task Allocation and Stable Cooperative Organization based on Behavioral Strategy Selection
Hayano Masashi;Miyashita Yuki; Sugawara Toshiharu
Transactions of the Japanese Society for Artificial Intelligence   31(6) AG-F_1-11   Jan 2016   [Refereed]
<p>This paper proposes a behavioral strategy with which agents select rational or reciprocal behavior depending on the past cooperative activities. Rational behavioral strategy lets agents select actions to try to maximize the direct and immediate...
Detecting malicious domains with probabilistic threat propagation on DNS graph
Kazato; Yuta; Sugawara; Toshiharu; Fukuda; Kensuke
Computer Software   33(3) 16-28   Jan 2016   [Refereed]
This paper proposes a method to estimate malicious domain names from a large scale DNS query response dataset. The key idea of the work is to leverage the use of DNS graph that is a bipartite graph consisting of domain names and corresponding IP a...
Ryutaro Kawaguchi; Masashi Hayano; Toshiharu Sugawara
Balanced Team Formation for Tasks with Deadlines   234-241   Dec 2015   [Refereed]
Kengo Saito; Toshiharu Sugawara
ACIS International Journal of Computer and Information Science   16(4) 30-40   Dec 2015   [Refereed]
Keisuke Yoneda; Ayumi Sugiyama; Chihiro Kato; Toshiharu Sugawara
Web Intelligence   13(4) 279-294   Nov 2015   [Refereed]
複雑ネットワーク上での囚人のジレンマゲームにおける協調の促進について
Ryosuke Shibusawa; Toshiharu Sugawara
Proceedings of Jont Agent Workshop and Symposium (JAWS2015)      Oct 2015   [Refereed]
行動戦略選択エージェントによる協同関係強化手法の提案
Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2015)      Oct 2015   [Refereed]
グループワークにおける信頼ネットワークに基づく公平な相互評価法の提案
Yumeno Shiba; Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2015)      Oct 2015   [Refereed]
Yumeno Shiba; Haruna Umegaki; Toshiharu Sugawara
Proceedings of the 18th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2015)   LNCS (LNAI) Vol. 9387 528-537   Oct 2015   [Refereed]
Hirahara; Yuki; Toriumi; Fujio; Sugawara; Toshiharu
Transactions of the Japanese Society for Artificial Intelligence   30(6) 782-790   Oct 2015   [Refereed]
© 2015, Japanese Society for Artificial Intelligenc. All right reserved.We propose an SNS-norms game to model behavioral strategies in social networking services (SNSs) and in- vestigate the conditions required for the evolution of cooperation-dom...
Miyashita; Yuki; Hayano; Masashi; Sugawara; Toshiharu
International Conference on Self-Adaptive and Self-Organizing Systems, SASO   2015-October 150-155   Sep 2015   [Refereed]
© 2015 IEEE.We propose reciprocal agents that self-organize associations based on cooperative relationships for efficient task/resource allocation problems in large-scale multi-agent systems (MASs). Computerized services are often provided by team...
直接互恵性が働くソーシャルメディアにおける協調の進化
大阪健吾; Fujio Toriumi; Toshiharu Sugawara
第11回ネットワークが創発する知能研究会ワークショップ (JWEIN2015) 論文集      Aug 2015   [Refereed]
チーム編成ゲームと互恵エージェントを用いた自 律的組織化について
Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara
第11回ネットワークが創発する知能研究会ワークショップ (JWEIN2015) 論文集      Aug 2015   [Refereed]
Saito; Kengo; Sugawara; Toshiharu
2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings   341-347   Jul 2015   [Refereed]
© 2015 IEEE.This paper proposes solutions to a problem called single-object resource allocation with preferential orders and efficient algorithms for semi-optimal allocations. Formalizations of resource allocation problems are widely used in many ...
Vourchteang; Sea; Sugawara; Toshiharu
Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015   523-529   Jul 2015   [Refereed]
© 2015 IEEE.In this paper, we introduce an extended performance-based partitioning method for the cooperative cleaning domain in the environment with obstacles. Due to ongoing advances in technology, robotic applications have been crucial for larg...
Ryosuke Shibusawa; Toshiharu Sugawara
Trans. of the Inst. of Electronics, Information and Communication Engineers D (in Japanese)   J98-D(6) 873-883   Jun 2015   [Refereed]
Ayumi Sugiyama; Toshiharu Sugawara
Trans. of the Inst. of Electronics, Information and Communication Engineers D (in Japanese)   J98-D(6) 862-872   Jun 2015   [Refereed]
DNSグラフ上でのグラフ分析と脅威確率伝搬による悪質ドメイン特定
風戸雄太; Kensuke Fukuda; Toshiharu Sugawara
第16回インターネットテクノロジーワークショップ (WIT2015) 論文集      Jun 2015   [Refereed]
Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara
Proceedings of Workshop on Coordination, Organizations, Institutions and Norms in Agent Systems (COIN 2015)   143-157   May 2015   [Refereed]
Ayumi Sugiyama; Toshiharu Sugawara
Proceedings of the 30th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2015)   494-500   Apr 2015   [Refereed]
Hayano; Masashi;Hamada; Dai; Sugawara; Toshiharu
NEUROCOMPUTING   146 164-172   Dec 2014   [Refereed]
Autonomous Strategy Determination with Learning of Environments in Multi-Agent Continuous Cleaning
Ayumi Sugiyama; Toshiharu Sugawara
Proceedings of the 17th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2014)   LNCS 8861 455-462   Dec 2014   [Refereed]
Evolution of Cooperation in SNS-norms Game on Complex Networks and Real Social Networks
Yuki Hirahara; Fujio Toriumi; Toshiharu Sugawara;
Social Informatics, -- Proceedings of the 6th International Conference on Social Informatics (SocInfo 2014)   LNCS 8851 112-120   Nov 2014   [Refereed]
複雑ネットワークにおける影響力の伝播によるノルムの収束について
Ryosuke Shibusawa; Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2014)      Oct 2014   [Refereed]
投票カード群を用いた売買価格差を考慮した蓄電池充放電計画手法の評価
坂本裕紀; Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2014)      Oct 2014   [Refereed]
マルチエージェント巡回清掃における未知環境下での自律的な戦略の学習
Ayumi Sugiyama; Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2014)      Oct 2014   [Refereed]
Fair assessment of group work by mutual evaluation based on trust network
Yumeno Shiba; Toshiharu Sugawara
Proceedings of 2014 IEEE Frontiers in Education Conference (IEEE FIE 2014)   821-827   Oct 2014   [Refereed]
Norm Emergence via Influential Weight Propagation in Complex Networks,
Ryosuke Shibusawa; Toshiharu Sugawara;
Proceedings of the First European Network Intelligence Conference (ENIC 2014)   30-37   Sep 2014   [Refereed]
Cooperation-dominant Situations in Meta-rewards Games on WS- and BA-model Networks
HIRAHARA Yuki;TORIUMI Fujio; SUGAWARA Toshiharu
Computer Software   31(3) 3_211-3_221   Aug 2014   [Refereed]
We investigate the conditions in which cooperation is dominant in social media using the models of evolutionary games of public goods games and try to clarify the mechanisms that social media thrive. Situation that cooperation is dominant correspo...
Learning of Task Allocation Method Based on Reorganization of Agent Networks in Known and Unknown Environments
Kazuki Urakawa; Toshiharu Sugawara
Journal of Information Processing   22(2) 289-298   Apr 2014   [Refereed]
We propose a team formation method that integrates the estimating of the resources of neighboring agents in a tree-structured agent network in order to allocate tasks to the agents that have sufficient capabilities for doing tasks. A task for prov...
Decentralized Area Partitioning for a Cooperative Cleaning Task
Chihiro Kato; Toshiharu Sugawara
Proceedings of the 16th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2013)   LNCS 8291 470-477   Dec 2013   [Refereed]
Towards classification of DNS erroneous queries
Yuta Kazato; Kensuke Fukuda; Toshiharu Sugawara
Proceedings of the Asian Internet Engineering Conference 2013 (AINTEC2013)   ACM DL    Nov 2013   [Refereed]
Evolution of Cooperation in Meta-rewards Games on Networks of WS and BA models
Yuki Hirahara; Fujio Toriumi; Toshiharu Sugawara
Proceedings of DOCMAS 2013 (IEEE/WIC/ACM International Conference on Intelligent Agent Technology)   IEEE Xplore    Nov 2013   [Refereed]
Autonomous Learning of Target Decision Strategies without Communications for Continuous Coordinated Cleaning Tasks
Keisuke Yoneda; Chihiro Kato; Toshiharu Sugawara
Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-13)   IEEE Xplore    Nov 2013   [Refereed]
WSモデル・BAモデルのネットワーク上でのメタ報酬ゲームにおける協調の進化
平原悠喜; Fujio Toriumi; Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS2013)      Sep 2013   [Refereed]
Task Allocation Strategy Based on Variances in Bids for Large-Scale Multi-Agent Systems
Toshiharu Sugawara
IFIP Advances in Information and Communication Technology Series   412 110-120   Sep 2013   [Refereed]
Task Allocation Method Combining Reorganization of Agent Networks and Resource Estimation in Unknown Environments
Kazuki Urakawa; Toshiharu Sugawara
Proceedings of the 3rd International Conference on Innovative Computing Technology   383-388   Aug 2013   [Refereed]
DNSクエリデータ解析とそのクエリパターンのクラス分類
風戸雄太; Kensuke Fukuda; Toshiharu Sugawara
第14回インターネットテクノロジーワークショップ (WIT2013) 論文集      Jun 2013   [Refereed]
Autonomous Decision on Team Roles for Efficient Team Formation by Parameter Learning and its Evaluation
Dai Hamada; Toshiharu Sugawara
Intelligent Decision Technologies Journal   7(3) 163-174   Jun 2013   [Refereed]
Role and Member Selection in Team Formation Using Resource Estimation
Masashi Hayano; Dai Hamada; Toshiharu Sugawara
Proceedings of the 7th International KES Conference on Agents and Multi-agent Systems - Technologies and Applications   Frontiers in Artificial Intell(252) 125-136   May 2013   [Refereed]
Kanda; Yoshiki;Fontugne; Romain;Fukuda; Kensuke; Sugawara; Toshiharu
COMPUTER COMMUNICATIONS   36(5) 575-588   Jan 2013   [Refereed]
Reorganization of Agent Networks with Reinforcement Learning based on Communication Delay
Kazuki Urakawa; Toshiharu Sugawara
Proceedings of 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-12)   324-331   Dec 2012   [Refereed]

Misc

 
YAMAUCHI Tomoki, IDE Rina, SUGAWARA Toshiharu
Proceedings of the Annual Conference of JSAI   2019(0) 4N3J702-4N3J702   Jun 2019
<p>We propose the elevator group control method to fairly allocate the cars to all types of waiting passengers including ordinary passengers and priority access passengers who, for example, have strollers or need wheelchairs, in order to achieve f...
山崎天, 菅原俊治
電子情報通信学会技術研究報告   118(492(AI2018 53-59)(Web)) 13‐18 (WEB ONLY)   Mar 2019
服部克哉, 杉山歩未, 菅原俊治
情報処理学会研究報告(Web)   2019(ICS-194) Vol.2019‐ICS‐194,No.1,1‐8 (WEB ONLY)   Mar 2019
岩田裕登, 杉山歩未, 菅原俊治
情報処理学会研究報告(Web)   2019(ICS-194) Vol.2019‐ICS‐194,No.2,1‐8 (WEB ONLY)   Mar 2019
Cooperative Behavior on Limited Resource Using Deep Reinforcement Learning in Multi-Agent System
LI, Yining and SUGAWARA, Toshiharu
情報処理学会研究報告(Web) 行動変容と社会システム   5    Mar 2019
マルチエージェント継続協調巡回問題における位置情報を利用したふるまいの類似度推定
Ayumi Sugiyama, Vourchteang Sea; Toshiharu Sugawara
IEICE technical report. Artificial intelligence and knowledge-based processing   118(116) 23-28   Jul 2018
店舗間の距離による競合する小売店の価格・在庫戦略への影響
尾形 直哉, Toshiharu Sugawara
IEICE technical report. Artificial intelligence and knowledge-based processing   118(116) 29-34   Jul 2018
KIMURA Sonoko, ASATANI Kimitaka, SUGAWARA Toshiharu
Proc. of JSAI   2018(0) 3O2OS1b03-3O2OS1b03   Jun 2018
People often belong to multiple communities and accommodate themselves to majority opinion in each community. Thus, they sometimes express different and occasionally inconsistent opinions in the individual communities. When the inconsistency in op...
ソーシャルメディアにおける限界効用逓減の効果
三浦 雄太郎, Fujio Toriumi, Toshiharu Sugawara
IPSJ National Convention   4ZE-06    Mar 2018
エージェント間の通信遅延を考慮した効率的なチーム編成手法の提案
舟戸 崚也, Toshiharu Sugawara
IPSJ National Convention   3Q-06    Mar 2018
マルチエージェント探索問題における粗視化とフィルタリングの統合手法による領域分割について
湯徳 尊久, Ayumi Sugiyama, Toshiharu Sugawara
IPSJ National Convention   2Q-04    Mar 2018
異なる利得構造を持つエージェントが混在するネットワークにおける協調促進について
村中慧, 大塚知亮, Toshiharu Sugawara
知能システム研究会予稿集, 情報処理学会   2017-ICS-190(8) 1-7   Mar 2018
心理特性と外部情報の影響考慮した災害避難シミュレーション
本田 慧悟, Toshiharu Sugawara
IPSJ National Convention   3S-09    Mar 2018
通信制限のある複数エージェントの協調巡回清掃問題における担当領域の重複とその抑制手法の提案,
吉村 祐, Ayumi Sugiyama, Toshiharu Sugawara
The 117th IPSJ SIG on Mathematical Modeling and Problem Solving (SIGMPS)   2018-MPS-117(9)    Mar 2018
通信遅延がある環境における効率的なチーム編成手法の提案
舟戸崚也, Masashi Hayano, 飯嶋直輝, Toshiharu Sugawara
知能システム研究会予稿集, 情報処理学会   2017-ICS-190(9) 1-7   Mar 2018
Ayumi Sugiyama, Sea Vourchteang, Masashi Hayano, Toshiharu Sugawara
日本ソフトウェア科学会全国大会予稿集   34 597-606   Sep 2017
飯嶋 直輝, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara
日本ソフトウェア科学会全国大会予稿集   34 607-610   Sep 2017
エレベータ群管理システムにおける人数推定を用いた呼び割当手法とスケジューリング手法
井手理菜, 山内智貴, Toshiharu Sugawara
Joint Agent Workshops and Symposium (JAWS 2017)      Sep 2017
Ayumi Sugiyama, Toshiharu Sugawara
The 31st Annual Conference of the Japanese Society for Artificial Intelligence   2017(0) 3N13-3N13   May 2017
本研究では連続活動時間に制限のある自律エージェントによる継続巡回問題を扱う.我々はこれまでに,単一エージェントの自律的な戦略学習と単純な交渉によって主に担当する場所や範囲が分離する分業体制をボトムアップに構築できることを示唆した.本論文では,全エージェントが環境全体に責任をもつ場合よりも提案手法による分業体制がエージェントの活動停止に対するロバスト性を向上させることを示し,その要因を分析した.
7F-05 非同期チーム編成における互恵編成戦略の提案と評価
Masashi Hayano, Toshiharu Sugawara
IPSJ National Convention      Mar 2017

Conference Activities & Talks

 
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
三浦 雄太郎, 鳥海不二夫, 菅原俊治
第15回ネットワーク生態学シンポジウム   18 Nov 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
SUGAWARA, Toshiharu
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   5 Sep 2011   

Research Grants & Projects

 
Improving sustainability, flexibility, and robustness of artifactitious systems using emergence of divisional cooperation
Project Year: Jul 2017 - Mar 2021
Research on autonomous construction of organizational structures and its effect on the efficiency of assignment problem in a multi-agent system
Project Year: Apr 2013 - Mar 2017
We proposed a distributed task allocation method in which a large number of agents with different capabilities construct a group through processing in a bottom-up manner and allocate appropriate resources / tasks within their groups to maximize th...
Study on norm emergence and its stability in conflict situations of heterogeneous agent network society
Project Year: Apr 2011 - Mar 2014
We proposed the learning method in which agents produce norm in the society for effective conflict resolution and investigated the characteristics (convergence, stability, etc.) of the norm. For this purpose, we expressed conflict situations using...
Proposal of adaptive coordination formation control mechanism for multiagent planning
Project Year: Apr 2011 - Mar 2014
In this study we have studied adaptive multiagent planning formation change algorithm. Centralized type, direct coordination type, and indirect coordination type is typical formation. This time, we have mainly adopted multiagent based traffic cont...
Research on Distributed Virtual Multi-point Switching Technology
Project Year: Apr 2010 - Mar 2013
In this research, we propose a multi-points switching technology for virtualized networks. The goal of our research enables an intelligent control on exchanging IP-layer traffic over multiple routing switches in parallel. The results of our resear...
On negotiation protocol/strategy exerting capabilities in large-scale multi-agent systems.
Project Year: Apr 2010 - Mar 2013
We proposed the negotiation method, especially the effective task assignment method, in large-scale autonomous multi-agent systems based on contract net protocol and market-based allocation. In task assignment by the market- and bid-based approach...
Development of Theory of Mechanism Design for Information Network Economics
Project Year: Apr 2008 - Mar 2013
We have developed the mechanism generators which automatically generate the mechanism that can satisfy the given conditions. Especially, we proposed component mechanisms stored in mechanism data bases and also developed the technologies of automat...
Proposal of top-down controllable multiagent coordination mechanism
In this study, we have proposed a new framework to integrate the bottom up and top down coordination of multiagent systems consisting of many autonomous agents having a local view. We have proposed the methodology in which both coordination types ...
Research on Distributed Virtual Multi-layer Routing
Study on scalable negotiation protocol for task allocations in large-scale multi-agent systems
IPv4++ : A New Generation Internet Protocol
The IPv4++ is an IPv4 compatible protocol. Unlike IPv4, it provides unlimited number of addresses by a multiple virtual address space technique. The IPv4++ network is a collection of IPv4 network called realm and realms are connected each other vi...
Model of false-name-proof negotiation protocol for networked resources and its evaluation
This research aims to evaluate the market-based fair and efficient protocol, in order to apply it to the allocations of networked resources for its future applications to this domain. In ad hoc networks used in P2P and the decentralized sensor net...

Education

 
 
 - 
1982
Department of Mathematics, Graduate School,Science and Engineering, Waseda University