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Research Output 1984 2019

  • 472 Citations
  • 10 h-Index
  • 105 Conference contribution
  • 43 Article
  • 3 Chapter
2019

Analysis of Traffic Congestion Reducer Agents on Multi-Lane Highway

Ishihara, Y. & Sugawara, T., 2019 Feb 1, Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019. Institute of Electrical and Electronics Engineers Inc., p. 135-141 7 p. 8782519. (Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Traffic Congestion
Traffic congestion
Congestion
Railroad cars
Autonomous agents

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions

Miyashita, Y. & Sugawara, T., 2019 Jan 1, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer-Verlag, p. 541-554 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Q-learning
Multi agent systems
Multi-agent Systems
Personnel
Game

Coordinated behavior of cooperative agents using deep reinforcement learning

Diallo, E. A. O., Sugiyama, A. & Sugawara, T., 2019 Jan 1, In : Neurocomputing.

Research output: Contribution to journalArticle

Reinforcement learning
Cooperative Behavior
Learning
Network architecture
Reward
1 Citation (Scopus)

Learning of activity cycle length based on battery limitation in multi-agent continuous cooperative patrol problems

Sugiyama, A., Wu, L. & Sugawara, T., 2019 Jan 1, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (eds.). SciTePress, p. 62-71 10 p. (ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
Intelligent control
Sensors

Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks

Miura, Y., Toriumi, F. & Sugawara, T., 2019 Jul 13, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 297-298 2 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Complex networks
Complex Networks
Genetic algorithms
Genetic Algorithm
Network Analysis
2018
1 Citation (Scopus)

Asynchronous agent teams for collaborative tasks based on bottom-up alliance formation and adaptive behavioral strategies

Hayano, M., Iijima, N. & Sugawara, T., 2018 Mar 29, Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 589-596 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Actuators
Cooperative Behavior
Technology
Equipment and Supplies
Conflict (Psychology)

Efficient task allocation with communication delay based on reciprocal teams

Funato, R. & Sugawara, T., 2018 Sep 10, Proceedings - 2018 IEEE International Conference on Agents, ICA 2018. Institute of Electrical and Electronics Engineers Inc., p. 50-54 5 p. 8460001

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Task Allocation
Communication Delay
Communication
Distributed Environment
Smartphones
Multi agent systems
Decision making
Costs
1 Citation (Scopus)

Frequency-based multi-agent patrolling model and its area partitioning solution method for balanced workload

Sea, V., Sugiyama, A. & Sugawara, T., 2018 Jan 1, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 15th International Conference, CPAIOR 2018, Proceedings. Springer-Verlag, p. 530-545 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10848 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-agent Model
Workload
Partitioning
Operations research
Computational efficiency

Learning strategic group formation for coordinated behavior in adversarial multi-agent with double DQN

Diallo, E. A. O. & Sugawara, T., 2018 Jan 1, PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, 2018, Proceedings. Oren, N., Sakurai, Y., Noda, I., Cao Son, T., Miller, T. & Savarimuthu, B. T. (eds.). Springer-Verlag, p. 458-466 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11224 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi agent systems
Autonomous agents
Intelligent agents
Military operations
Reinforcement learning
3 Citations (Scopus)

Learning to coordinate with deep reinforcement learning in doubles pong game

Diallo, E. A. O., Sugiyama, A. & Sugawara, T., 2018 Jan 16, Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 14-19 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Multi agent systems
Decision making
Experiments

Promotion of robust cooperation among agents in complex networks by enhanced expectation-of-cooperation strategy

Otsuka, T. & Sugawara, T., 2018 Jan 1, Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications). Springer-Verlag, p. 815-828 14 p. (Studies in Computational Intelligence; vol. 689).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Complex networks
Reinforcement learning
2017
1 Citation (Scopus)

Adaptive switching behavioral strategies for effective team formation in changing environments

Hayano, M., Miyashita, Y. & Sugawara, T., 2017, Agents and Artificial Intelligence - 8th International Conference, ICAART 2016, Revised Selected Papers. Springer Verlag, Vol. 10162 LNAI. p. 37-55 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10162 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic Environment
Workload
Strategy
Task Allocation
Dependability
3 Citations (Scopus)

Adaptive Task Allocation Based on Social Utility and Individual Preference in Distributed Environments

Iijima, N., Sugiyama, A., Hayano, M. & Sugawara, T., 2017, In : Procedia Computer Science. 112, p. 91-98 8 p.

Research output: Contribution to journalArticle

Specifications
5 Citations (Scopus)

Analysis of task allocation based on social utility and incompatible individual preference

Iijima, N., Hayano, M., Sugiyama, A. & Sugawara, T., 2017 Mar 16, TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 24-31 8 p. 7880161

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Task Allocation
Combinatorial Problems
Reward
Specification
Specifications
2 Citations (Scopus)

Coordinated area partitioning method by autonomous agents for continuous cooperative tasks

Sea, V., Kato, C. & Sugawara, T., 2017, In : Journal of Information Processing. 25, p. 75-87 13 p.

Research output: Contribution to journalArticle

Autonomous agents
Software agents
Cleaning
Robots
Computer science
7 Citations (Scopus)

Effective task allocation by enhancing divisional cooperation in multi-Agent continuous patrolling tasks

Sugiyama, A., Sea, V. & Sugawara, T., 2017 Jan 11, Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016. Institute of Electrical and Electronics Engineers Inc., p. 33-40 8 p. 7814576

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cleaning
Personnel
Robots
2 Citations (Scopus)

Effect of direct reciprocity and network structure on continuing prosperity of social networking services

Osaka, K., Toriumi, F. & Sugawara, T., 2017 Dec 1, In : Computational Social Networks. 4, 1, 2.

Research output: Contribution to journalArticle

Social Networking
Reciprocity
Network Structure
Reward
Game
1 Citation (Scopus)

Effect of direct reciprocity on continuing prosperity of social networking services

Osaka, K., Toriumi, F. & Sugawara, T., 2017, In : Studies in Computational Intelligence. 693, p. 411-422 12 p.

Research output: Contribution to journalArticle

Experiments
4 Citations (Scopus)

Improvement of robustness to environmental changes by autonomous divisional cooperation in multi-agent cooperative patrol problem

Sugiyama, A. & Sugawara, T., 2017, Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection - 15th International Conference, PAAMS 2017, Proceedings. Springer Verlag, Vol. 10349 LNCS. p. 259-271 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10349 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robustness
Bottom-up
Multi agent systems
Innovation
Decision making
2 Citations (Scopus)

Robust spread of cooperation by expectation-of-cooperation strategy with simple labeling method

Otsuka, T. & Sugawara, T., 2017 Aug 23, Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017. Association for Computing Machinery, Inc, p. 483-490 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling
Computer systems
Communication
2016
2 Citations (Scopus)

Area Partitioning Method with Learning of Dirty Areas and Obstacles in Environments for Cooperative Sweeping Robots

Vourchteang, S. & Sugawara, T., 2016 Jan 6, Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015. Institute of Electrical and Electronics Engineers Inc., p. 523-529 7 p. 7373964

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cleaning
Robots
Robotics
Experiments
2 Citations (Scopus)

Assignment problem with preference and an efficient solution method without dissatisfaction

Saito, K. & Sugawara, T., 2016, Agent and Multi-Agent Systems: Technology and Applications - 10th KES International Conference, KES-AMSTA 2016, Proceedings. Springer Science and Business Media Deutschland GmbH, Vol. 58. p. 33-44 12 p. (Smart Innovation, Systems and Technologies; vol. 58).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Resource allocation
Assignment problem
Dissatisfaction
Optimal solution
Costs

Balanced team formation for tasks with deadlines

Kawaguchi, R., Hayano, M. & Sugawara, T., 2016 Feb 2, Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. Institute of Electrical and Electronics Engineers Inc., Vol. 2. p. 234-241 8 p. 7397366

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi agent systems
Hardware
4 Citations (Scopus)

Cooperation-dominant Situations in SNS-norms Game on Complex and Facebook Networks

Hirahara, Y., Toriumi, F. & Sugawara, T., 2016 Aug 1, In : New Generation Computing. 34, 3, p. 273-290 18 p.

Research output: Contribution to journalArticle

Social Networking
Game
Norm
Reward
Costs

Detecting malicious domains with probabilistic threat propagation on DNS graph

Kazato, Y., Sugawara, T. & Fukuda, K., 2016, In : Computer Software. 33, 3, p. 16-28 13 p.

Research output: Contribution to journalArticle

Multi agent systems
Degradation
1 Citation (Scopus)

Emergence of cooperation in complex agent networks based on expectation of cooperation

Shibusawa, R., Otsuka, T. & Sugawara, T., 2016, AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1333-1334 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments
2 Citations (Scopus)

Formation of association structures based on reciprocity and their performance in allocation problems

Miyashita, Y., Hayano, M. & Sugawara, T., 2016, Coordination, Organizations, Institutions, and Normes in Agent Systems XI - COIN 2015 International Workshops COIN@AAMAS, Revised Selected Papers. Springer Verlag, Vol. 9628. p. 262-281 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9628).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reciprocity
Multi agent systems
Multi-agent Systems
Game
Parameter Learning
2 Citations (Scopus)

Solving coalition structure generation problem with double-layered ant colony optimization

Yeh, C. & Sugawara, T., 2016 Aug 31, Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., p. 65-70 6 p. 7557577

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ant colony optimization
Multi agent systems
Sensor networks
Robots
2 Citations (Scopus)

Spread of cooperation in complex agent networks based on expectation of cooperation

Shibusawa, R., Otsuka, T. & Sugawara, T., 2016, Princiles and Practice of Multi-Agent Systems - 19th International Conference, PRIMA 2016, Proceedings. Springer Verlag, Vol. 9862. p. 76-91 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9862).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Intelligent agents
Prisoner's Dilemma Game
Q-learning
Social Behavior
Intelligent Agents
1 Citation (Scopus)

Switching behavioral strategies for effective team formation by autonomous agent organization

Hayano, M., Miyashita, Y. & Sugawara, T., 2016, ICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence. SciTePress, Vol. 1. p. 56-65 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Autonomous agents
Switches
Computer science
Mechanics
Electronic equipment
2015

Cooperation-dominant situations in SNS-norms game on complex and Facebook networks

Hirahara, Y., Toriumi, F. & Sugawara, T., 2015 Oct 27, In : Transactions of the Japanese Society for Artificial Intelligence. 30, 6, p. 782-790 9 p.

Research output: Contribution to journalArticle

Costs
Communication
Industry
Experiments
3 Citations (Scopus)

Fair assessment of group work by mutual evaluation based on trust network

Shiba, Y. & Sugawara, T., 2015 Feb 17, Proceedings - Frontiers in Education Conference, FIE. February ed. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-February. 7044121

Research output: Chapter in Book/Report/Conference proceedingConference contribution

group work
Students
evaluation
student
educational activities
1 Citation (Scopus)

Fair assessment of group work by mutual evaluation with irresponsible and collusive students using trust networks

Shiba, Y., Umegaki, H. & Sugawara, T., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9387. p. 528-537 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9387).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Evaluation
Iterative methods
Unfair
Collusion
5 Citations (Scopus)

Learning and relearning of target decision strategies in continuous coordinated cleaning tasks with shallow coordination

Yoneda, K., Sugiyama, A., Kato, C. & Sugawara, T., 2015 Nov 18, In : Web Intelligence. 13, 4, p. 279-294 16 p.

Research output: Contribution to journalArticle

Cleaning
Robots
Robot applications
Multi agent systems
Dust
4 Citations (Scopus)

Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks

Sugiyama, A. & Sugawara, T., 2015 Apr 13, Proceedings of the ACM Symposium on Applied Computing. Association for Computing Machinery, Vol. 13-17-April-2015. p. 494-500 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
Autonomous agents
Multi agent systems
Computer hardware
Program processors
6 Citations (Scopus)

Self-Organizational Reciprocal Agents for Conflict Avoidance in Allocation Problems

Miyashita, Y., Hayano, M. & Sugawara, T., 2015 Oct 23, International Conference on Self-Adaptive and Self-Organizing Systems, SASO. IEEE Computer Society, Vol. 2015-October. p. 150-155 6 p. 7306606

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi agent systems
Intelligent agents
Resource allocation
2 Citations (Scopus)

Single-object resource allocation in multiple bid declaration with preferential order

Saito, K. & Sugawara, T., 2015 Jul 24, 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 341-347 7 p. 7166617

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Resource allocation
2014
2 Citations (Scopus)

Autonomous strategy determination with learning of environments in multi-agent continuous cleaning

Sugiyama, A. & Sugawara, T., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8861. p. 455-462 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8861).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cleaning
Robots
Learning Strategies
Robot
Autonomous agents

Cooperation-Dominant situations in meta-Rewards games on WS- and BA-model networks

Hirahara, Y., Sugawara, T. & Toriumi, F., 2014 Aug 1, In : Computer Software. 31, 3, p. 211-221 11 p.

Research output: Contribution to journalArticle

Experiments
3 Citations (Scopus)

Emergence of conventions for efficiently resolving conflicts in complex networks

Sugawara, T., 2014 Oct 16, Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014. Institute of Electrical and Electronics Engineers Inc., Vol. 3. p. 371-378 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Complex networks
Reinforcement learning
Costs
Communication
1 Citation (Scopus)

Emergence of conventions in conflict situations in complex agent network environments

Sugawara, T., 2014, 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Vol. 2. p. 1459-1460 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reinforcement learning
Complex networks
5 Citations (Scopus)

Evolution of cooperation in SNS-norms game on complex networks and real social networks

Hirahara, Y., Toriumi, F. & Sugawara, T., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8851. p. 112-120 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8851).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolution of Cooperation
Social Networking
Complex networks
Complex Networks
Social Networks
9 Citations (Scopus)

Norm emergence via influential weight propagation in complex networks

Shibusawa, R. & Sugawara, T., 2014 Dec 12, Proceedings - 2014 European Network Intelligence Conference, ENIC 2014. Institute of Electrical and Electronics Engineers Inc., p. 30-37 8 p. 6984887

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Complex networks
Multi agent systems
Agglomeration
Experiments
17 Citations (Scopus)

Role and member selection in team formation using resource estimation for large-scale multi-agent systems

Hayano, M., Hamada, D. & Sugawara, T., 2014 Dec 25, In : Neurocomputing. 146, p. 164-172 9 p.

Research output: Contribution to journalArticle

Multi agent systems
Aptitude
Internet
Learning
Cloud computing
2013
21 Citations (Scopus)

ADMIRE: Anomaly detection method using entropy-based PCA with three-step sketches

Kanda, Y., Fontugne, R., Fukuda, K. & Sugawara, T., 2013 Mar 1, In : Computer Communications. 36, 5, p. 575-588 14 p.

Research output: Contribution to journalArticle

Principal component analysis
Entropy
Detectors
Agglomeration
2 Citations (Scopus)

Autonomous decision on team roles for efficient team formation by parameter learning and its evaluation

Hamada, D. & Sugawara, T., 2013, In : Intelligent Decision Technologies. 7, 3, p. 163-174 12 p.

Research output: Contribution to journalArticle

Multi agent systems
Resource allocation
Experiments