Knowledge Representation and INference Environment: KRINE, - An Approach to Integration of Frame, Prolog, and Graphics. - Yutaka Ogawa; Kenichi Shima; Toshiharu Sugawara; Shigeru Takagi (FGCS, 1984)

A diagnostic and observation expert system for large TCP/IP-based internetworks. - Toshiharu Sugawara (Syst. Comput. Jpn., 1992)

Reusing Past Plans in Distributed Planning. - Toshiharu Sugawara (ICMAS, 1995)

Learning Coordination Plans in Distributed Problem-Solving Environments. - Toshiharu Sugawara; Victor R. Lesser (ICMAS, 1995)

Plan reuse in cooperative, distributed problem-solving. - Toshiharu Sugawara (Syst. Comput. Jpn., 1997)

Multi-Agent Reinforcement Learning System Integrating Exploitation and Exploration-Oriented Learning. - Satoshi Kurihara; Rikio Onai; Toshiharu Sugawara (DAI, 1998)

Learning Message-Related Coordination Control in Multiagent Systems. - Toshiharu Sugawara; Satoshi Kurihara (DAI, 1998)

Self-organization based on nonlinear nonequilibrium. Dynamics of autonomous agents. - Satoshi Kurihara; Toshiharu Sugawara; Rikio Onai (Artif. Life Robotics, 1998)

Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments. - Toshiharu Sugawara; Victor R. Lesser (Mach. Learn., 1998)

Adaptive selection of reactive/deliberate planning for a dynamic environment. - Satoshi Kurihara; Shigemi Aoyagi; Rikio Onai; Toshiharu Sugawara (Robotics Auton. Syst., 1998)

Cooperative Analysis in Inter-AS Diagnostic System ENCORE . - Osamu Akashi; Toshiharu Sugawara; Ken-ichiro Murakami; Mitsuru Maruyama; Naohisa Takahashi (ASA/MA, 1999)

Adaptive Reinforcement Learning Integrating Exploitation-and Exploration-oriented Learning. - Satoshi Kurihara; Rikio Onai; Toshiharu Sugawara (J. Adv. Comput. Intell. Intell. Informatics, 1999)

An Organization-Related Information Maintenance Component. - Toshiharu Sugawara; Osamu Akashi; Satoshi Kurihara; Shin-ya Sato (ICMAS, 2000)

Multiagent-based cooperative inter-AS diagnosis in ENCORE. - Osamu Akashi; Toshiharu Sugawara; Ken Murakami; Mitsuru Maruyama; Naohisa Takahashi (NOMS, 2000)

A multi-agent monitoring and diagnostic system for TCP/IP-based network and its coordination. - Toshiharu Sugawara; Ken-ichiro Murakami; Shigeki Goto (Knowl. Based Syst., 2001)

Video Skimming Method for Flexible Play Time. - Shigemi Aoyagi; Toshihiro Takada; Koji Sato; Toshiharu Sugawara; Rikio Onai (IMSA, 2002)

Clea: A framework for the Coordination of Applications and Networks. - Koji Sato; Toshio Hirotsu; Kensuke Fukuda; Osamu Akashi; Toshiharu Sugawara (JCIS, 2002)

Agent System for Inter-AS Routing Error Diagnosis. - Osamu Akashi; Toshiharu Sugawara; Ken-ichiro Murakami; Mitsuro Maruyama; Kei'ichi Koyanagi (IEEE Internet Comput., 2002)

Simple but efficient collaboration in a complex competitive situation. - Satoshi Kurihara; Kensuke Fukuda; Toshio Hirotsu; Osamu Akashi; Shin-ya Sato; Toshiharu Sugawara (AAMAS, 2003)

Learning implicit resource relationships from past plans in multi-agent systems. - Toshiharu Sugawara; Satoshi Kurihara; Osamu Akashi (AAMAS, 2003)

Secure and Manageable Virtual Private Networks for End-users. - Kenichi Kourai; Toshio Hirotsu; Koji Sato; Osamu Akashi; Kensuke Fukuda; Toshiharu Sugawara; Shigeru Chiba (LCN, 2003)

Extraction of Implicit Resource Relationships in Multi-agent Systems. - Toshiharu Sugawara; Satoshi Kurihara; Osamu Akashi (PRIMA, 2003)

Agents Support for Flexible Inter-AS Policy Control. - Osamu Akashi; Toshio Hirotsu; Koji Sato; Kenichi Kourai; Mitsuro Maruyama; Toshiharu Sugawara (SAINT Workshops, 2003)

Proximity Mining: Finding Proximity using Sensor Data History. - Toshihiro Takada; Satoshi Kurihara; Toshio Hirotsu; Toshiharu Sugawara (WMCSA, 2003)

An Implementation for Capturing Clickable Moving Objects. - Toshiharu Sugawara; Satoshi Kurihara; Shigemi Aoyagi; Koji Sato; Toshihiro Takada (APCHI, 2004)

Reusing Coordination and Negotiation Strategies in Multi-Agent Systems for Ubiquitous Network Environment. - Toshiharu Sugawara; Satoshi Kurihara; Kensuke Fukuda; Toshio Hirotsu; Shigemi Aoyagi; Toshihiro Takada (AAMAS, 2004)

How Collective Intelligence Emerge in Complex Environment? - Satoshi Kurihara; Kensuke Fukuda; Toshio Hirotsu; Osamu Akashi; Shin-ya Sato; Toshiharu Sugawara (BioADIT, 2004)

Multi-agent Human-Environment Interaction Framework for the Ubiquitous Environment. - Satoshi Kurihara; Kensuke Fukuda; Toshio Hirotsu; Shigemi Aoyagi; Toshihiro Takada; Toshiharu Sugawara (MMAS, 2004)

Predicting possible conflicts in hierarchical planning for multi-agent systems. - Toshiharu Sugawara; Satoshi Kurihara; Toshio Hirotsu; Kensuke Fukuda; Toshihiro Takada (AAMAS, 2005)

Detection and Diagnosis of Inter-AS Routing Anomalies by Cooperative Intelligent Agents. - Osamu Akashi; Atsushi Terauchi; Kensuke Fukuda; Toshio Hirotsu; Mitsuru Maruyama; Toshiharu Sugawara (DSOM, 2005)

On the Use of Hierarchical Power-law Network Topology for Server Selection and Allocation in Multi-Agent Systems. - Kensuke Fukuda; Shin-ya Sato; Osamu Akashi; Toshio Hirotsu; Satoshi Kurihara; Toshiharu Sugawara (IAT, 2005)

Time and Space Correlation in BGP Messages. - Kensuke Fukuda; Toshio Hirotsu; Osamu Akashi; Toshiharu Sugawara (ICOIN, 2005)

ARTISTE: Agent Organization Management System for Multi-Agent Systems. - Atsushi Terauchi; Osamu Akashi; Mitsuru Maruyama; Kensuke Fukuda; Toshiharu Sugawara; Toshio Hirotsu; Satoshi Kurihara (PRIMA, 2005)

Effective Decision Making by Self-evaluation in the Multi-agent Environment. - Satoshi Kurihara; Kensuke Fukuda; Shin-ya Sato; Toshiharu Sugawara (WINE, 2005)

Application of a Massively Multi-Agent System to Internet Routing Management. - Osamu Akashi; Kensuke Fukuda; Satoshi Kurihara; Toshio Hirotsu; Toshiharu Sugawara (MMAS/LSMAS/CCMMS, 2006)

How can agent know the global information without close coordination? - Satoshi Kurihara; Shin-ya Sato; Kensuke Fukuda; Toshiharu Sugawara (AAMAS, 2006)

Total performance by local agent selection strategies in multi-agent systems. - Toshiharu Sugawara; Satoshi Kurihara; Toshio Hirotsu; Kensuke Fukuda; Shin-ya Sato; Osamu Akashi (AAMAS, 2006)

Dependency of Network Structures in Agent Selection and Deployment. - Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara; Shin-ya Sato; Osamu Akashi; Toshiharu Sugawara (IAT, 2006)

Multi-Agent Systems Performance by Adaptive/Non-Adaptive Agent Selection. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Shin-ya Sato; Satoshi Kurihara (IAT, 2006)

Adaptive Agent Selection in Large-Scale Multi-Agent Systems. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Shin-ya Sato; Satoshi Kurihara (PRICAI, 2006)

Policy-based BGP control architecture for autonomous routing management. - Osamu Akashi; Kensuke Fukuda; Toshio Hirotsu; Toshiharu Sugawara (INM@SIGCOMM, 2006)

Multi-Agent Coordination Mechanism Based on Indirect Interaction. - Satoshi Kurihara; Kensuke Fukuda; Shin-ya Sato; Toshiharu Sugawara (AINA Workshops (1), 2007)

Conflict estimation of abstract plans for multiagent systems. - Toshiharu Sugawara; Satoshi Kurihara; Toshio Hirotsu; Kensuke Fukuda; Toshihiro Takada (AAMAS, 2007)

Performance variation due to interference among a large number of self-interested agents. - Toshiharu Sugawara; Toshio Hirotsu; Satoshi Kurihara; Kensuke Fukuda (IEEE Congress on Evolutionary Computation, 2007)

Analysis of Diagnostic Capability for Hijacked Route Problem. - Osamu Akashi; Kensuke Fukuda; Toshio Hirotsu; Toshiharu Sugawara (IPOM, 2007)

Lisp-based agent platform and applications for inter-domain network management. - Osamu Akashi; Atsushi Terauchi; Kensuke Fukuda; Toshio Hirotsu; Toshiharu Sugawara (ILC, 2007)

Effective Selection of Abstract Plans for Multi-Agent Systems. - Toshiharu Sugawara; Satoshi Kurihara; Toshio Hirotsu; Kensuke Fukuda; Toshihiro Takada (SGAI Conf., 2007)

Generating Extensional Definitions of Concepts from Ostensive Definitions by Using Web. - Shin-ya Sato; Kensuke Fukuda; Satoshi Kurihara; Toshio Hirotsu; Toshiharu Sugawara (WISE, 2007)

The Impact of Network Model on Performance of Load-balancing. - Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara; Osamu Akashi; Shin-ya Sato; Toshiharu Sugawara (Emergent Intelligence of Networked Agents, 2007)

Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/ Non-Adaptive Agent Selection. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Shin-ya Sato; Satoshi Kurihara (Emergent Intelligence of Networked Agents, 2007)

Adaptive manager-side control policy in contract net protocol for massively multi-agent systems. - Toshiharu Sugawara; Satoshi Kurihara; Toshio Hirotsu; Kensuke Fukuda (AAMAS (3), 2008)

Controling Contract Net Protocol by Local Observation for Large-Scale Multi-Agent Systems. - Toshiharu Sugawara; Toshio Hirotsu; Satoshi Kurihara; Kensuke Fukuda (CIA, 2008)

Correlation Among Piecewise Unwanted Traffic Time Series. - Kensuke Fukuda; Toshio Hirotsu; Osamu Akashi; Toshiharu Sugawara (GLOBECOM, 2008)

Estimation of sensor-network topology from time-series sensor data using ant colony optimization method. - Kensuke Takahashi; Toshiharu Sugawara (SIS, 2008)

Co-occurrence Analysis Focused on Blogger Communities. - Shin-ya Sato; Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara; Toshiharu Sugawara (Web Intelligence, 2008)

Policy-based BGP-control architecture for inter-AS routing adjustment. - Osamu Akashi; Kensuke Fukuda; Toshio Hirotsu; Toshiharu Sugawara (Comput. Commun., 2008)

Estimation of Sensor Network Topology Using Ant Colony Optimization. - Kensuke Takahashi; Satoshi Kurihara; Toshio Hirotsu; Toshiharu Sugawara (ICANNGA, 2009)

Estimating Relevance of Items on Basis of Proximity of User Groups on Blogspace. - Shin-ya Sato; Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara; Toshiharu Sugawara (Web Intelligence, 2009)

A PCA Analysis of Daily Unwanted Traffic. - Kensuke Fukuda; Toshio Hirotsu; Osamu Akashi; Toshiharu Sugawara (AINA, 2010)

Effect of probabilistic task allocation based on statistical analysis of bid values. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara (AAMAS, 2010)

Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara (GECCO, 2010)

Evaluation of Anomaly Detection Based on Sketch and PCA. - Yoshiki Kanda; Kensuke Fukuda; Toshiharu Sugawara (GLOBECOM, 2010)

Probabilistic Award Strategy for Contract Net Protocol in Massively Multi-agent Systems. - Toshiharu Sugawara; Toshio Hirotsu; Kensuke Fukuda (ICAART (2), 2010)

A Light-Weight Autonomous Power Saving Method for Wireless Sensor Networks. - Toshio Hirotsu; Shinnosuke Nishitani; Hirotake Abe; Kyoji Umemura; Kensuke Fukuda; Satoshi Kurihara; Toshiharu Sugawara (ICAS, 2010)

A Flow Analysis for Mining Traffic Anomalies. - Yoshiki Kanda; Kensuke Fukuda; Toshiharu Sugawara (ICC, 2010)

Dynamic and distributed routing control for virtualized local area networks. - Toshio Hirotsu; Satoshi Kurihara; Kensuke Fukuda; Osamu Akashi; Hirotake Abe; Toshiharu Sugawara (LCN, 2010)

Effect of Alternative Distributed Task Allocation Strategy Based on Local Observations in Contract Net Protocol. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Satoshi Kurihara (PRIMA, 2010)

Fluctuated peer selection policy and its performance in large-scale multi-agent systems. - Toshiharu Sugawara; Kensuke Fukuda; Toshio Hirotsu; Shin-ya Sato; Osamu Akashi; Satoshi Kurihara (Web Intell. Agent Syst., 2010)

Efficient Team Formation Based on Learning and Reorganization and Influence of Communication Delay. - Ryota Katayanagi; Toshiharu Sugawara (CIT, 2011)

Analysis of Spoofed IP Traffic Using Time-to-Live and Identification Fields in IP Headers. - Masayuki Ohta; Yoshiki Kanda; Kensuke Fukuda; Toshiharu Sugawara (AINA Workshops, 2011)

Emergence of norms for social efficiency in partially iterative non-coordinated games. - Toshiharu Sugawara (AAMAS, 2011)

Adaptive Routing Point Control in Virtualized Local Area Networks Using Particle Swarm Optimizations. - Kensuke Takahashi; Toshio Hirotsu; Toshiharu Sugawara (ICTAI, 2011)

Emergence and Stability of Social Conventions in Conflict Situations. - Toshiharu Sugawara (IJCAI, 2011)

Reorganization of Agent Networks with Reinforcement Learning Based on Communication Delay. - Kazuki Urakawa; Toshiharu Sugawara (IAT, 2012)

Deciding Roles for Efficient Team Formation by Parameter Learning. - Dai Hamada; Toshiharu Sugawara (KES-AMSTA, 2012)

Two-Sided Parameter Learning of Role Selections for Efficient Team Formation. - Dai Hamada; Toshiharu Sugawara (PRIMA, 2012)

Towards classification of DNS erroneous queries. - Yuta Kazato; Kensuke Fukuda; Toshiharu Sugawara (AINTEC, 2013)

Evolution of Cooperation in Meta-Rewards Games on Networks of WS and BA Models. - Yuki Hirahara; Fujio Toriumi; Toshiharu Sugawara (Web Intelligence/IAT Workshops, 2013)

Autonomous Learning of Target Decision Strategies without Communications for Continuous Coordinated Cleaning Tasks. - Keisuke Yoneda; Chihiro Kato; Toshiharu Sugawara (IAT, 2013)

Task Allocation Strategy Based on Variances in Bids for Large-Scale Multi-Agent Systems. - Toshiharu Sugawara (AIAI, 2013)

Role and Member Selection in Team Formation Using Resource Estimation. - Masashi Hayano; Dai Hamano; Toshiharu Sugawara (KES-AMSTA, 2013)

Decentralized Area Partitioning for a Cooperative Cleaning Task. - Chihiro Kato; Toshiharu Sugawara (PRIMA, 2013)

ADMIRE: Anomaly detection method using entropy-based PCA with three-step sketches. - Yoshiki Kanda; Romain Fontugne; Kensuke Fukuda; Toshiharu Sugawara (Comput. Commun., 2013)

Autonomous decision on team roles for efficient team formation by parameter learning and its evaluation. - Dai Hamada; Toshiharu Sugawara (Intell. Decis. Technol., 2013)

Norm Emergence via Influential Weight Propagation in Complex Networks. - Ryosuke Shibusawa; Toshiharu Sugawara (ENIC, 2014)

Fair assessment of group work by mutual evaluation based on trust network. - Yumeno Shiba; Toshiharu Sugawara (FIE, 2014)

Autonomous Strategy Determination with Learning of Environments in Multi-agent Continuous Cleaning. - Ayumi Sugiyama; Toshiharu Sugawara (PRIMA, 2014)

Evolution of Cooperation in SNS-norms Game on Complex Networks and Real Social Networks. - Yuki Hirahara; Fujio Toriumi; Toshiharu Sugawara (SocInfo, 2014)

Emergence of Conventions for Efficiently Resolving Conflicts in Complex Networks. - Toshiharu Sugawara (WI-IAT (3), 2014)

Role and member selection in team formation using resource estimation for large-scale multi-agent systems. - Masashi Hayano; Dai Hamada; Toshiharu Sugawara (Neurocomputing, 2014)

Learning of Task Allocation Method Based on Reorganization of Agent Networks in Known and Unknown Environments. - Kazuki Urakawa; Toshiharu Sugawara (J. Inf. Process., 2014)

Single-object resource allocation in multiple bid declaration with preferential order. - Kengo Saito; Toshiharu Sugawara (ICIS, 2015)

Formation of Association Structures Based on Reciprocity and Their Performance in Allocation Problems. - Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara (COIN@AAMAS/IJCAI, 2015)

Area Partitioning Method with Learning of Dirty Areas and Obstacles in Environments for Cooperative Sweeping Robots. - Vourchteang Sea; Toshiharu Sugawara (IIAI-AAI, 2015)

Fair Assessment of Group Work by Mutual Evaluation with Irresponsible and Collusive Students Using Trust Networks. - Yumeno Shiba; Haruna Umegaki; Toshiharu Sugawara (PRIMA, 2015)

Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks. - Ayumi Sugiyama; Toshiharu Sugawara (SAC, 2015)

Self-Organizational Reciprocal Agents for Conflict Avoidance in Allocation Problems. - Yuki Miyashita; Masashi Hayano; Toshiharu Sugawara (SASO, 2015)

Balanced Team Formation for Tasks with Deadlines. - Ryutaro Kawaguchi; Masashi Hayano; Toshiharu Sugawara (WI-IAT (2), 2015)

Learning and relearning of target decision strategies in continuous coordinated cleaning tasks with shallow coordination. - Keisuke Yoneda; Ayumi Sugiyama; Chihiro Kato; Toshiharu Sugawara (Web Intell., 2015)

Emergence of Cooperation in Complex Agent Networks Based on Expectation of Cooperation: (Extended Abstract). - Ryosuke Shibusawa; Tomoaki Otsuka; Toshiharu Sugawara (AAMAS, 2016)

Effect of Direct Reciprocity on Continuing Prosperity of Social Networking Services. - Kengo Osaka; Fujio Toriumi; Toshiharu Sugawara (COMPLEX NETWORKS, 2016)

Switching Behavioral Strategies for Effective Team Formation by Autonomous Agent Organization. - Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara (ICAART (1), 2016)

Adaptive Switching Behavioral Strategies for Effective Team Formation in Changing Environments. - Masashi Hayano; Yuki Miyashita; Toshiharu Sugawara (ICAART (Revised Selected Papers), 2016)

Effective Task Allocation by Enhancing Divisional Cooperation in Multi-Agent Continuous Patrolling Tasks. - Ayumi Sugiyama; Vourchteang Sea; Toshiharu Sugawara (ICTAI, 2016)

Solving Coalition Structure Generation Problem with Double-Layered Ant Colony Optimization. - ChiaWei Yeh; Toshiharu Sugawara (IIAI-AAI, 2016)

Assignment Problem with Preference and an Efficient Solution Method Without Dissatisfaction. - Kengo Saito; Toshiharu Sugawara (KES-AMSTA, 2016)

Spread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation. - Ryosuke Shibusawa; Tomoaki Otsuka; Toshiharu Sugawara (PRIMA, 2016)

Analysis of task allocation based on social utility and incompatible individual preference. - Naoki Iijima; Masashi Hayano; Ayumi Sugiyama; Toshiharu Sugawara (TAAI, 2016)

Cooperation-dominant Situations in SNS-norms Game on Complex and Facebook Networks. - Yuki Hirahara; Fujio Toriumi; Toshiharu Sugawara (New Gener. Comput., 2016)

Promotion of Robust Cooperation Among Agents in Complex Networks by Enhanced Expectation-of-Cooperation Strategy. - Tomoaki Otsuka; Toshiharu Sugawara (COMPLEX NETWORKS, 2017)

Asynchronous Agent Teams for Collaborative Tasks Based on Bottom-Up Alliance Formation and Adaptive Behavioral Strategies. - Masashi Hayano; Naoki Iijima; Toshiharu Sugawara (DASC/PiCom/DataCom/CyberSciTech, 2017)

Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game. - Elhadji Amadou Oury Diallo; Ayumi Sugiyama; Toshiharu Sugawara (ICMLA, 2017)

Adaptive Task Allocation Based on Social Utility and Individual Preference in Distributed Environments. - Naoki Iijima; Ayumi Sugiyama; Masashi Hayano; Toshiharu Sugawara (KES, 2017)

Improvement of Robustness to Environmental Changes by Autonomous Divisional Cooperation in Multi-agent Cooperative Patrol Problem. - Ayumi Sugiyama; Toshiharu Sugawara (PAAMS, 2017)

Robust spread of cooperation by expectation-of-cooperation strategy with simple labeling method. - Tomoaki Otsuka; Toshiharu Sugawara (WI, 2017)

Coordinated Area Partitioning Method by Autonomous Agents for Continuous Cooperative Tasks. - Vourchteang Sea; Chihiro Kato; Toshiharu Sugawara (J. Inf. Process., 2017)

Frequency-Based Multi-agent Patrolling Model and Its Area Partitioning Solution Method for Balanced Workload. - Vourchteang Sea; Ayumi Sugiyama; Toshiharu Sugawara (CPAIOR, 2018)

Efficient Task Allocation with Communication Delay Based on Reciprocal Teams. - Ryoya Funato; Toshiharu Sugawara (ICA, 2018)

Learning Strategic Group Formation for Coordinated Behavior in Adversarial Multi-Agent with Double DQN. - Elhadji Amadou Oury Diallo; Toshiharu Sugawara (PRIMA, 2018)

Evolutionary Learning Model of Social Networking Services with Diminishing Marginal Utility. - Yutaro Miura; Fujio Toriumi; Toshiharu Sugawara (WWW (Companion Volume), 2018)

Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions. - Yuki Miyashita; Toshiharu Sugawara (AAMAS, 2019)

Comparison of Opinion Polarization on Single-Layer and Multiplex Networks. - Sonoko Kimura; Kimitaka Asatani; Toshiharu Sugawara (COMPLEX NETWORKS (2), 2019)

Analysis of Diversity and Dynamics in Co-evolution of Cooperation in Social Networking Services. - Yutaro Miura; Fujio Toriumi; Toshiharu Sugawara (COMPLEX NETWORKS (1), 2019)

Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks. - Yutaro Miura; Fujio Toriumi; Toshiharu Sugawara (GECCO (Companion), 2019)

Learning of Activity Cycle Length based on Battery Limitation in Multi-agent Continuous Cooperative Patrol Problems. - Ayumi Sugiyama; Lingying Wu; Toshiharu Sugawara (ICAART (1), 2019)

Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length. - Ayumi Sugiyama; Lingying Wu; Toshiharu Sugawara (ICAART (Revised Selected Papers), 2019)

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions. - Yuki Miyashita; Toshiharu Sugawara (ICANN (1), 2019)

Coordination in Adversarial Multi-Agent with Deep Reinforcement Learning Under Partial Observability. - Elhadji Amadou Oury Diallo; Toshiharu Sugawara (ICTAI, 2019)

Energy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems. - Lingying Wu; Ayumi Sugiyama; Toshiharu Sugawara (KES, 2019)

Fair and Effective Elevator Car Dispatching Method in Elevator Group Control System using Cameras. - Tomoki Yamauchi; Rina Ide; Toshiharu Sugawara (KES, 2019)

Coordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions. - Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2019)

Strategies for Energy-Aware Multi-agent Continuous Cooperative Patrolling Problems Subject to Requirements. - Lingying Wu; Toshiharu Sugawara (PRIMA, 2019)

Multiple-World Genetic Algorithm to Identify Locally Reasonable Behaviors in Complex Social Networks. - Yutaro Miura; Fujio Toriumi; Toshiharu Sugawara (SMC, 2019)

Emergence of divisional cooperation with negotiation and re-learning and evaluation of flexibility in continuous cooperative patrol problem. - Ayumi Sugiyama; Vourchteang Sea; Toshiharu Sugawara (Knowl. Inf. Syst., 2019)

Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract). - Elhadji Amadou Oury Diallo; Toshiharu Sugawara (AAAI, 2020)

Influence of Retweeting on the Behaviors of Social Networking Service Users. - Yizhou Yan; Fujio Toriumi; Toshiharu Sugawara (COMPLEX NETWORKS (1), 2020)

Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning. - Zean Zhu; Elhadji Amadou Oury Diallo; Toshiharu Sugawara (ICAART (1), 2020)

Coordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay. - Yuki Miyashita; Toshiharu Sugawara (ICONIP (2), 2020)

Multi-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach. - Elhadji Amadou Oury Diallo; Toshiharu Sugawara (IJCNN, 2020)

Meta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method. - Xiaohui Zhu; Toshiharu Sugawara (IJCNN, 2020)

Multi-Agent Task Allocation Based on the Learning of Managers and Local Preference Selections. - Yuka Ishihara; Toshiharu Sugawara (KES, 2020)

Multi-agent Service Area Adaptation for Ride-Sharing Using Deep Reinforcement Learning. - Naoki Yoshida; Itsuki Noda; Toshiharu Sugawara (PAAMS, 2020)

Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning. - Jiahao Peng; Toshiharu Sugawara (PRIMA, 2020)

Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning. - Ken Smith; Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2020)

Coordinated behavior of cooperative agents using deep reinforcement learning. - Elhadji Amadou Oury Diallo; Ayumi Sugiyama; Toshiharu Sugawara (Neurocomputing, 2020)

Impact of Monetary Rewards on Users' Behavior in Social Media. - Yutaro Usui; Fujio Toriumi; Toshiharu Sugawara (COMPLEX NETWORKS, 2021)

Path and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (EUMAS, 2021)

Reducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems. - Sota Tsuiki; Keisuke Yoneda; Toshiharu Sugawara (FLAIRS, 2021)

Effective Area Partitioning in a Multi-Agent Patrolling Domain for Better Efficiency. - Katsuya Hattori; Toshiharu Sugawara (ICAART (1), 2021)

Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning. - Naoki Yoshida; Itsuki Noda; Toshiharu Sugawara (ICAART (1), 2021)

MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities. - Yoshinari Motokawa; Toshiharu Sugawara (ICANN (4), 2021)

Multi-Agent Task Allocation Based on Reciprocal Trust in Distributed Environments. - Koki Sato; Toshiharu Sugawara (KES-AMSTA, 2021)

Analysis of coordinated behavior structures with multi-agent deep reinforcement learning. - Yuki Miyashita; Toshiharu Sugawara (Appl. Intell., 2021)

Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (AAMAS, 2022)

Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution. - Yuki Miyashita; Tomoki Yamauchi; Toshiharu Sugawara (COMPSAC, 2022)

Task Handover Negotiation Protocol for Planned Suspension based on Estimated Chances of Negotiations in Multi-agent Patrolling. - Sota Tsuiki; Keisuke Yoneda; Toshiharu Sugawara (ICAART (1), 2022)

Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agent Patrol Problems. - Sota Tsuiki; Keisuke Yoneda; Toshiharu Sugawara (ICAART (Revised Selected Paper, 2022)

Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. - Yuki Miyashita; Toshiharu Sugawara (ICMLA, 2022)

Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-agent Games. - Yidong Bai; Toshiharu Sugawara (ICONIP (2), 2022)

Identifying Top-k Peaks Using an Extended Particle Swarm Optimization Algorithm with Re-diversification Mechanism. - Stephen Raharja; Toshiharu Sugawara (IIAI-AAI, 2022)

Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. - Yoshinari Motokawa; Toshiharu Sugawara (IJCNN, 2022)

Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. - Yukita Fujitani; Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (KES, 2022)

Shifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks. - Yoshihiro Oguni; Yuki Miyashita; Toshiharu Sugawara (PAAMS, 2022)

Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2022)

Fair Formation Control of Multiple Agents Using Ant Colony Optimization. - Yoshie Suzuki; Stephen Raharja; Toshiharu Sugawara (SCIS/ISIS, 2022)

Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning. - Yuki Miyashita; Toshiharu Sugawara (Auton. Intell. Syst., 2022)

User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. - Shintaro Ueki; Fujio Toriumi; Toshiharu Sugawara (ASONAM, 2023)

Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. - Yuki Miyashita; Tomoki Yamauchi; Toshiharu Sugawara (AAMAS, 2023)

Interpretation Using Classified Gradient-Based Saliency Maps for Two-Player Board Games. - Gentoku Nakasone; Toshiharu Sugawara (CoG, 2023)

Influence of Virtual Tipping and Collection Rate in Social Live Streaming Services. - Shintaro Ueki; Fujio Toriumi; Toshiharu Sugawara (COMPLEX NETWORKS (4), 2023)

Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination. - Junjie Zhong; Toshiharu Sugawara (EANN, 2023)

Learning to Communicate Using Action Probabilities for Multi-Agent Cooperation. - Yidong Bai; Toshiharu Sugawara (ICA, 2023)

Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem. - Kohei Matsumoto; Keisuke Yoneda; Toshiharu Sugawara (ICAART (1), 2023)

Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. - Yoshinari Motokawa; Toshiharu Sugawara (IJCNN, 2023)

Strategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction. - Yoshinari Motokawa; Toshiharu Sugawara (KES, 2023)

Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning. - Shintaro Ueki; Fujio Toriumi; Toshiharu Sugawara (CoRR, 2023)

Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints. - Tomoki Yamauchi; Yuki Miyashita; Toshiharu Sugawara (SN Comput. Sci., 2023)

User behaviors in consumer-generated media under monetary reward schemes. - Yutaro Usui; Fujio Toriumi; Toshiharu Sugawara (J. Comput. Soc. Sci., 2023)

Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem. - Yuki Miyashita; Toshiharu Sugawara (ICAART (1), 2024)

Efficient Retraining for Continuous Operability Through Strategic Directives. - Gentoku Nakasone; Yoshinari Motokawa; Yuki Miyashita; Toshiharu Sugawara (ICMLA, 2024)

Action Selection in Reinforcement Learning with Upgoing Policy Update. - Xiaoning Zhao; Toshiharu Sugawara (ICMLA, 2024)

Reducing Redundant Computation in Multi-Agent Coordination through Locally Centralized Execution. - Yidong Bai; Toshiharu Sugawara (IIAI-AAI, 2024)

Performance Improvement for UAV-Assisted Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning. - Kohei Suzuki; Toshiharu Sugawara (INISTA, 2024)

Multi-Agent Reinforcement Learning with Clustering and Experience Sharing. - Kaname Inokuchi; Toshiharu Sugawara (KES, 2024)

Overlap-Free Pattern Formation Method Using Particle Swarm Optimization. - Kotaro Yamada; Toshiharu Sugawara (KES, 2024)

Fair Path Generation for Formation Control Combining Ant Colony and Particle Swarm Optimizations. - Yoshie Suzuki; Toshiharu Sugawara (KES-AMSTA, 2024)

Path Finding with Flexible Provisional Booking in Multi-agent Pickup and Delivery Problems. - Daiki Shimada; Yuki Miyashita; Toshiharu Sugawara (PRIMA, 2024)

Deep Reinforcement Learning with Local Communications for Continuous Pathfinding Problems in Multi-Agent Systems. - Yosuke Fujisawa; Daiki Shimada; Yuki Miyashita; Toshiharu Sugawara (WI/IAT, 2024)

Enhancing Multi-Agent Cooperation Through Action-Probability-Based Communication. - Yidong Bai; Toshiharu Sugawara (J. Robotics Mechatronics, 2024)

Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations. - Yoshie Suzuki; Stephen Raharja; Toshiharu Sugawara (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Locally Centralized Execution for Less Redundant Computation in Multi-Agent Cooperation. - Yidong Bai; Toshiharu Sugawara (Inf., 2024)

Game-theoretic implications for uncovering the effects of virtual tipping in complex user networks. - Shintaro Ueki; Fujio Toriumi; Toshiharu Sugawara (Appl. Netw. Sci., 2024)

Multi-Agent Path Finding Using Provisionally Booking Nodes for Pickup and Delivery Problems. - Daiki Shimada; Yuki Miyashita; Toshiharu Sugawara (ICAART (3), 2025)