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2020 – today
- 2024
[j27]Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara:
Game-theoretic implications for uncovering the effects of virtual tipping in complex user networks. Appl. Netw. Sci. 9(1): 44 (2024)- [j26]Yidong Bai
, Toshiharu Sugawara:
Locally Centralized Execution for Less Redundant Computation in Multi-Agent Cooperation. Inf. 15(5): 279 (2024) - [j25]Yoshie Suzuki, Stephen Raharja, Toshiharu Sugawara:
Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations. J. Adv. Comput. Intell. Intell. Informatics 28(1): 159-168 (2024) - [j24]Yidong Bai, Toshiharu Sugawara:
Enhancing Multi-Agent Cooperation Through Action-Probability-Based Communication. J. Robotics Mechatronics 36(3): 658-668 (2024) - [c158]Yuki Miyashita, Toshiharu Sugawara:
Scheduling and Negotiation Method for Double Synchronized Multi-Agent Pickup and Delivery Problem. ICAART (1) 2024: 321-332 - [c157]Yidong Bai, Toshiharu Sugawara:
Reducing Redundant Computation in Multi-Agent Coordination through Locally Centralized Execution. IIAI-AAI 2024: 363-368 - [c156]Kohei Suzuki, Toshiharu Sugawara:
Performance Improvement for UAV-Assisted Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning. INISTA 2024: 1-6 - [c155]Kaname Inokuchi, Toshiharu Sugawara:
Multi-Agent Reinforcement Learning with Clustering and Experience Sharing. KES 2024: 1329-1337 - [c154]Kotaro Yamada, Toshiharu Sugawara:
Overlap-Free Pattern Formation Method Using Particle Swarm Optimization. KES 2024: 2138-2147 - [c153]Daiki Shimada, Yuki Miyashita, Toshiharu Sugawara:
Path Finding with Flexible Provisional Booking in Multi-agent Pickup and Delivery Problems. PRIMA 2024: 74-80 - [i8]Yidong Bai, Toshiharu Sugawara:
Reducing Redundant Computation in Multi-Agent Coordination through Locally Centralized Execution. CoRR abs/2404.13096 (2024) - 2023
- [j23]Yutaro Usui, Fujio Toriumi, Toshiharu Sugawara:
User behaviors in consumer-generated media under monetary reward schemes. J. Comput. Soc. Sci. 6(1): 389-409 (2023) - [j22]Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Efficient Path and Action Planning Method for Multi-Agent Pickup and Delivery Tasks under Environmental Constraints. SN Comput. Sci. 4(1): 83 (2023) - [c152]Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara:
User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. ASONAM 2023: 325-329 - [c151]Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara:
Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. AAMAS 2023: 914-922 - [c150]Gentoku Nakasone, Toshiharu Sugawara:
Interpretation Using Classified Gradient-Based Saliency Maps for Two-Player Board Games. CoG 2023: 1-8 - [c149]Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara:
Influence of Virtual Tipping and Collection Rate in Social Live Streaming Services. COMPLEX NETWORKS (4) 2023: 116-128 - [c148]Junjie Zhong, Toshiharu Sugawara:
Modeling Others as a Player in Non-cooperative Game for Multi-agent Coordination. EANN 2023: 520-531 - [c147]Yidong Bai, Toshiharu Sugawara:
Learning to Communicate Using Action Probabilities for Multi-Agent Cooperation. ICA 2023: 31-36 - [c146]Kohei Matsumoto, Keisuke Yoneda, Toshiharu Sugawara:
Autonomous Energy-Saving Behaviors with Fulfilling Requirements for Multi-Agent Cooperative Patrolling Problem. ICAART (1) 2023: 37-47 - [c145]Yoshinari Motokawa, Toshiharu Sugawara:
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [c144]Yoshinari Motokawa, Toshiharu Sugawara:
Strategy-Following Multi-Agent Deep Reinforcement Learning through External High-Level Instruction. KES 2023: 2798-2807 - [i7]Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara:
Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem. CoRR abs/2302.09250 (2023) - [i6]Yoshinari Motokawa, Toshiharu Sugawara:
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning. CoRR abs/2304.10375 (2023) - [i5]Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara:
Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning. CoRR abs/2306.00492 (2023) - [i4]Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara:
User's Position-Dependent Strategies in Consumer-Generated Media with Monetary Rewards. CoRR abs/2310.04805 (2023) - 2022
- [j21]Yuki Miyashita, Toshiharu Sugawara:
Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning. Auton. Intell. Syst. 2(1): 1-18 (2022) - [c143]Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. AAMAS 2022: 1427-1435 - [c142]Yuki Miyashita, Tomoki Yamauchi, Toshiharu Sugawara:
Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution. COMPSAC 2022: 14-23 - [c141]Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara:
Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agent Patrol Problems. ICAART (Revised Selected Paper 2022: 27-47 - [c140]Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara:
Task Handover Negotiation Protocol for Planned Suspension based on Estimated Chances of Negotiations in Multi-agent Patrolling. ICAART (1) 2022: 83-93 - [c139]Yuki Miyashita, Toshiharu Sugawara:
Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. ICMLA 2022: 579-584 - [c138]Yidong Bai, Toshiharu Sugawara:
Imbalanced Equilibrium: Emergence of Social Asymmetric Coordinated Behavior in Multi-agent Games. ICONIP (2) 2022: 305-316 - [c137]Stephen Raharja, Toshiharu Sugawara:
Identifying Top-k Peaks Using an Extended Particle Swarm Optimization Algorithm with Re-diversification Mechanism. IIAI-AAI 2022: 359-366 - [c136]Yoshinari Motokawa, Toshiharu Sugawara:
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. IJCNN 2022: 1-8 - [c135]Yukita Fujitani, Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. KES 2022: 1552-1561 - [c134]Yoshihiro Oguni, Yuki Miyashita, Toshiharu Sugawara:
Shifting Reward Assignment for Learning Coordinated Behavior in Time-Limited Ordered Tasks. PAAMS 2022: 294-306 - [c133]Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization. PRIMA 2022: 458-474 - [c132]Yoshie Suzuki, Stephen Raharja, Toshiharu Sugawara:
Fair Formation Control of Multiple Agents Using Ant Colony Optimization. SCIS/ISIS 2022: 1-6 - [i3]Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks. CoRR abs/2201.06014 (2022) - [i2]Yoshinari Motokawa, Toshiharu Sugawara:
Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise. CoRR abs/2205.09705 (2022) - [i1]Yukita Fujitani, Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Deadlock-Free Method for Multi-Agent Pickup and Delivery Problem Using Priority Inheritance with Temporary Priority. CoRR abs/2205.12504 (2022) - 2021
- [j20]Yuki Miyashita, Toshiharu Sugawara:
Analysis of coordinated behavior structures with multi-agent deep reinforcement learning. Appl. Intell. 51(2): 1069-1085 (2021) - [c131]Yutaro Usui, Fujio Toriumi, Toshiharu Sugawara:
Impact of Monetary Rewards on Users' Behavior in Social Media. COMPLEX NETWORKS 2021: 632-643 - [c130]Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara:
Path and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks. EUMAS 2021: 37-54 - [c129]Sota Tsuiki, Keisuke Yoneda, Toshiharu Sugawara:
Reducing Efficiency Degradation Due to Scheduled Agent Suspensions by Task Handover in Multi-Agent Cooperative Patrol Problems. FLAIRS 2021 - [c128]Naoki Yoshida, Itsuki Noda, Toshiharu Sugawara:
Distributed Service Area Control for Ride Sharing by using Multi-Agent Deep Reinforcement Learning. ICAART (1) 2021: 101-112 - [c127]Katsuya Hattori, Toshiharu Sugawara:
Effective Area Partitioning in a Multi-Agent Patrolling Domain for Better Efficiency. ICAART (1) 2021: 281-288 - [c126]Yoshinari Motokawa, Toshiharu Sugawara:
MAT-DQN: Toward Interpretable Multi-agent Deep Reinforcement Learning for Coordinated Activities. ICANN (4) 2021: 556-567 - [c125]Koki Sato, Toshiharu Sugawara:
Multi-Agent Task Allocation Based on Reciprocal Trust in Distributed Environments. KES-AMSTA 2021: 477-488 - 2020
- [j19]Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara:
Coordinated behavior of cooperative agents using deep reinforcement learning. Neurocomputing 396: 230-240 (2020) - [c124]Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Multi-Agent Pattern Formation with Deep Reinforcement Learning (Student Abstract). AAAI 2020: 13779-13780 - [c123]Yizhou Yan, Fujio Toriumi, Toshiharu Sugawara:
Influence of Retweeting on the Behaviors of Social Networking Service Users. COMPLEX NETWORKS (1) 2020: 671-682 - [c122]Zean Zhu, Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning. ICAART (1) 2020: 287-294 - [c121]Yuki Miyashita, Toshiharu Sugawara:
Coordinated Behavior for Sequential Cooperative Task Using Two-Stage Reward Assignment with Decay. ICONIP (2) 2020: 257-269 - [c120]Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Multi-Agent Pattern Formation: a Distributed Model-Free Deep Reinforcement Learning Approach. IJCNN 2020: 1-8 - [c119]Xiaohui Zhu, Toshiharu Sugawara:
Meta-Reward Model Based on Trajectory Data with k-Nearest Neighbors Method. IJCNN 2020: 1-8 - [c118]Yuka Ishihara, Toshiharu Sugawara:
Multi-Agent Task Allocation Based on the Learning of Managers and Local Preference Selections. KES 2020: 675-684 - [c117]Naoki Yoshida, Itsuki Noda, Toshiharu Sugawara:
Multi-agent Service Area Adaptation for Ride-Sharing Using Deep Reinforcement Learning. PAAMS 2020: 363-375 - [c116]Jiahao Peng, Toshiharu Sugawara:
Policy Advisory Module for Exploration Hindrance Problem in Multi-agent Deep Reinforcement Learning. PRIMA 2020: 133-149 - [c115]Ken Smith, Yuki Miyashita, Toshiharu Sugawara:
Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning. PRIMA 2020: 150-164
2010 – 2019
- 2019
- [j18]Ayumi Sugiyama, Vourchteang Sea, Toshiharu Sugawara:
Emergence of divisional cooperation with negotiation and re-learning and evaluation of flexibility in continuous cooperative patrol problem. Knowl. Inf. Syst. 60(3): 1587-1609 (2019) - [c114]Yuki Miyashita, Toshiharu Sugawara:
Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions. AAMAS 2019: 2129-2131 - [c113]Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara:
Analysis of Diversity and Dynamics in Co-evolution of Cooperation in Social Networking Services. COMPLEX NETWORKS (1) 2019: 495-506 - [c112]Sonoko Kimura, Kimitaka Asatani, Toshiharu Sugawara:
Comparison of Opinion Polarization on Single-Layer and Multiplex Networks. COMPLEX NETWORKS (2) 2019: 709-721 - [c111]Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara:
Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks. GECCO (Companion) 2019: 297-298 - [c110]Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara:
Learning of Activity Cycle Length based on Battery Limitation in Multi-agent Continuous Cooperative Patrol Problems. ICAART (1) 2019: 62-71 - [c109]Ayumi Sugiyama, Lingying Wu, Toshiharu Sugawara:
Improvement of Multi-agent Continuous Cooperative Patrolling with Learning of Activity Length. ICAART (Revised Selected Papers) 2019: 270-292 - [c108]Yuki Miyashita, Toshiharu Sugawara:
Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions. ICANN (1) 2019: 541-554 - [c107]Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Coordination in Adversarial Multi-Agent with Deep Reinforcement Learning Under Partial Observability. ICTAI 2019: 198-205 - [c106]Tomoki Yamauchi, Rina Ide, Toshiharu Sugawara:
Fair and Effective Elevator Car Dispatching Method in Elevator Group Control System using Cameras. KES 2019: 455-464 - [c105]Lingying Wu, Ayumi Sugiyama, Toshiharu Sugawara:
Energy-Efficient Strategies for Multi-Agent Continuous Cooperative Patrolling Problems. KES 2019: 465-474 - [c104]Yuki Miyashita, Toshiharu Sugawara:
Coordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions. PRIMA 2019: 550-558 - [c103]Lingying Wu, Toshiharu Sugawara:
Strategies for Energy-Aware Multi-agent Continuous Cooperative Patrolling Problems Subject to Requirements. PRIMA 2019: 585-593 - [c102]Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara:
Multiple-World Genetic Algorithm to Identify Locally Reasonable Behaviors in Complex Social Networks. SMC 2019: 3665-3672 - 2018
- [c101]Vourchteang Sea, Ayumi Sugiyama, Toshiharu Sugawara:
Frequency-Based Multi-agent Patrolling Model and Its Area Partitioning Solution Method for Balanced Workload. CPAIOR 2018: 530-545 - [c100]Ryoya Funato, Toshiharu Sugawara:
Efficient Task Allocation with Communication Delay Based on Reciprocal Teams. ICA 2018: 50-54 - [c99]Elhadji Amadou Oury Diallo, Toshiharu Sugawara:
Learning Strategic Group Formation for Coordinated Behavior in Adversarial Multi-Agent with Double DQN. PRIMA 2018: 458-466 - [c98]Yutaro Miura, Fujio Toriumi, Toshiharu Sugawara:
Evolutionary Learning Model of Social Networking Services with Diminishing Marginal Utility. WWW (Companion Volume) 2018: 1323-1329 - 2017
- [j17]Vourchteang Sea, Chihiro Kato, Toshiharu Sugawara:
Coordinated Area Partitioning Method by Autonomous Agents for Continuous Cooperative Tasks. J. Inf. Process. 25: 75-87 (2017) - [c97]Tomoaki Otsuka, Toshiharu Sugawara:
Promotion of Robust Cooperation Among Agents in Complex Networks by Enhanced Expectation-of-Cooperation Strategy. COMPLEX NETWORKS 2017: 815-828 - [c96]Masashi Hayano, Naoki Iijima, Toshiharu Sugawara:
Asynchronous Agent Teams for Collaborative Tasks Based on Bottom-Up Alliance Formation and Adaptive Behavioral Strategies. DASC/PiCom/DataCom/CyberSciTech 2017: 589-596 - [c95]Elhadji Amadou Oury Diallo, Ayumi Sugiyama, Toshiharu Sugawara:
Learning to Coordinate with Deep Reinforcement Learning in Doubles Pong Game. ICMLA 2017: 14-19 - [c94]Naoki Iijima, Ayumi Sugiyama, Masashi Hayano, Toshiharu Sugawara:
Adaptive Task Allocation Based on Social Utility and Individual Preference in Distributed Environments. KES 2017: 91-98 - [c93]Ayumi Sugiyama, Toshiharu Sugawara:
Improvement of Robustness to Environmental Changes by Autonomous Divisional Cooperation in Multi-agent Cooperative Patrol Problem. PAAMS 2017: 259-271 - [c92]Tomoaki Otsuka, Toshiharu Sugawara:
Robust spread of cooperation by expectation-of-cooperation strategy with simple labeling method. WI 2017: 483-490 - 2016
- [j16]Yuki Hirahara, Fujio Toriumi, Toshiharu Sugawara:
Cooperation-dominant Situations in SNS-norms Game on Complex and Facebook Networks. New Gener. Comput. 34(3): 273-290 (2016) - [c91]Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara:
Emergence of Cooperation in Complex Agent Networks Based on Expectation of Cooperation: (Extended Abstract). AAMAS 2016: 1333-1334 - [c90]Kengo Osaka, Fujio Toriumi, Toshiharu Sugawara:
Effect of Direct Reciprocity on Continuing Prosperity of Social Networking Services. COMPLEX NETWORKS 2016: 411-422 - [c89]Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara:
Adaptive Switching Behavioral Strategies for Effective Team Formation in Changing Environments. ICAART (Revised Selected Papers) 2016: 37-55 - [c88]Masashi Hayano, Yuki Miyashita, Toshiharu Sugawara:
Switching Behavioral Strategies for Effective Team Formation by Autonomous Agent Organization. ICAART (1) 2016: 56-65 - [c87]Ayumi Sugiyama, Vourchteang Sea, Toshiharu Sugawara:
Effective Task Allocation by Enhancing Divisional Cooperation in Multi-Agent Continuous Patrolling Tasks. ICTAI 2016: 33-40 - [c86]ChiaWei Yeh, Toshiharu Sugawara:
Solving Coalition Structure Generation Problem with Double-Layered Ant Colony Optimization. IIAI-AAI 2016: 65-70 - [c85]Kengo Saito, Toshiharu Sugawara:
Assignment Problem with Preference and an Efficient Solution Method Without Dissatisfaction. KES-AMSTA 2016: 33-44 - [c84]Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara:
Spread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation. PRIMA 2016: 76-91 - [c83]Naoki Iijima, Masashi Hayano, Ayumi Sugiyama, Toshiharu Sugawara:
Analysis of task allocation based on social utility and incompatible individual preference. TAAI 2016: 24-31 - 2015
- [j15]Keisuke Yoneda, Ayumi Sugiyama, Chihiro Kato, Toshiharu Sugawara:
Learning and relearning of target decision strategies in continuous coordinated cleaning tasks with shallow coordination. Web Intell. 13(4): 279-294 (2015) - [c82]Kengo Saito, Toshiharu Sugawara:
Single-object resource allocation in multiple bid declaration with preferential order. ICIS 2015: 341-347 - [c81]Yuki Miyashita, Masashi Hayano, Toshiharu Sugawara:
Formation of Association Structures Based on Reciprocity and Their Performance in Allocation Problems. COIN@AAMAS/IJCAI 2015: 262-281 - [c80]Vourchteang Sea, Toshiharu Sugawara:
Area Partitioning Method with Learning of Dirty Areas and Obstacles in Environments for Cooperative Sweeping Robots. IIAI-AAI 2015: 523-529 - [c79]Yumeno Shiba, Haruna Umegaki, Toshiharu Sugawara:
Fair Assessment of Group Work by Mutual Evaluation with Irresponsible and Collusive Students Using Trust Networks. PRIMA 2015: 528-537 - [c78]Ayumi Sugiyama, Toshiharu Sugawara:
Meta-strategy for cooperative tasks with learning of environments in multi-agent continuous tasks. SAC 2015: 494-500 - [c77]Yuki Miyashita, Masashi Hayano, Toshiharu Sugawara:
Self-Organizational Reciprocal Agents for Conflict Avoidance in Allocation Problems. SASO 2015: 150-155 - [c76]Ryutaro Kawaguchi, Masashi Hayano, Toshiharu Sugawara:
Balanced Team Formation for Tasks with Deadlines. WI-IAT (2) 2015: 234-241 - 2014
- [j14]Masashi Hayano, Dai Hamada, Toshiharu Sugawara:
Role and member selection in team formation using resource estimation for large-scale multi-agent systems. Neurocomputing 146: 164-172 (2014) - [j13]Kazuki Urakawa, Toshiharu Sugawara:
Learning of Task Allocation Method Based on Reorganization of Agent Networks in Known and Unknown Environments. J. Inf. Process. 22(2): 289-298 (2014) - [c75]Ryosuke Shibusawa, Toshiharu Sugawara:
Norm Emergence via Influential Weight Propagation in Complex Networks. ENIC 2014: 30-37 - [c74]Yumeno Shiba, Toshiharu Sugawara:
Fair assessment of group work by mutual evaluation based on trust network. FIE 2014: 1-7 - [c73]Ayumi Sugiyama, Toshiharu Sugawara:
Autonomous Strategy Determination with Learning of Environments in Multi-agent Continuous Cleaning. PRIMA 2014: 455-462 - [c72]Yuki Hirahara, Fujio Toriumi, Toshiharu Sugawara:
Evolution of Cooperation in SNS-norms Game on Complex Networks and Real Social Networks. SocInfo 2014: 112-120 - [c71]Toshiharu Sugawara:
Emergence of Conventions for Efficiently Resolving Conflicts in Complex Networks. WI-IAT (3) 2014: 222-229 - 2013
- [j12]Yoshiki Kanda, Romain Fontugne, Kensuke Fukuda, Toshiharu Sugawara:
ADMIRE: Anomaly detection method using entropy-based PCA with three-step sketches. Comput. Commun. 36(5): 575-588 (2013) - [j11]Dai Hamada, Toshiharu Sugawara:
Autonomous decision on team roles for efficient team formation by parameter learning and its evaluation. Intell. Decis. Technol. 7(3): 163-174 (2013) - [c70]Yuta Kazato, Kensuke Fukuda, Toshiharu Sugawara:
Towards classification of DNS erroneous queries. AINTEC 2013: 25-32 - [c69]Yuki Hirahara, Fujio Toriumi, Toshiharu Sugawara:
Evolution of Cooperation in Meta-Rewards Games on Networks of WS and BA Models. Web Intelligence/IAT Workshops 2013: 126-130 - [c68]Keisuke Yoneda, Chihiro Kato, Toshiharu Sugawara:
Autonomous Learning of Target Decision Strategies without Communications for Continuous Coordinated Cleaning Tasks. IAT 2013: 216-223 - [c67]Toshiharu Sugawara:
Task Allocation Strategy Based on Variances in Bids for Large-Scale Multi-Agent Systems. AIAI 2013: 110-120 - [c66]Masashi Hayano, Dai Hamano, Toshiharu Sugawara:
Role and Member Selection in Team Formation Using Resource Estimation. KES-AMSTA 2013: 125-136 - [c65]Chihiro Kato, Toshiharu Sugawara:
Decentralized Area Partitioning for a Cooperative Cleaning Task. PRIMA 2013: 470-477 - 2012
- [c64]Kazuki Urakawa, Toshiharu Sugawara:
Reorganization of Agent Networks with Reinforcement Learning Based on Communication Delay. IAT 2012: 324-331 - [c63]Dai Hamada, Toshiharu Sugawara:
Deciding Roles for Efficient Team Formation by Parameter Learning. KES-AMSTA 2012: 544-553 - [c62]Dai Hamada, Toshiharu Sugawara:
Two-Sided Parameter Learning of Role Selections for Efficient Team Formation. PRIMA 2012: 122-136 - [e2]Iyad Rahwan, Wayne Wobcke, Sandip Sen, Toshiharu Sugawara:
PRIMA 2012: Principles and Practice of Multi-Agent Systems - 15th International Conference, Kuching, Sarawak, Malaysia, September 3-7, 2012. Proceedings. Lecture Notes in Computer Science 7455, Springer 2012, ISBN 978-3-642-32728-5 [contents] - 2011
- [c61]Ryota Katayanagi, Toshiharu Sugawara:
Efficient Team Formation Based on Learning and Reorganization and Influence of Communication Delay. CIT 2011: 563-570 - [c60]Masayuki Ohta, Yoshiki Kanda, Kensuke Fukuda, Toshiharu Sugawara:
Analysis of Spoofed IP Traffic Using Time-to-Live and Identification Fields in IP Headers. AINA Workshops 2011: 355-361 - [c59]Toshiharu Sugawara:
Emergence of norms for social efficiency in partially iterative non-coordinated games. AAMAS 2011: 1193-1194 - [c58]Kensuke Takahashi, Toshio Hirotsu, Toshiharu Sugawara:
Adaptive Routing Point Control in Virtualized Local Area Networks Using Particle Swarm Optimizations. ICTAI 2011: 352-360 - [c57]Toshiharu Sugawara:
Emergence and Stability of Social Conventions in Conflict Situations. IJCAI 2011: 371-378 - 2010
- [j10]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Osamu Akashi, Satoshi Kurihara:
Fluctuated peer selection policy and its performance in large-scale multi-agent systems. Web Intell. Agent Syst. 8(3): 255-268 (2010) - [c56]Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Toshiharu Sugawara:
A PCA Analysis of Daily Unwanted Traffic. AINA 2010: 377-384 - [c55]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara:
Effect of probabilistic task allocation based on statistical analysis of bid values. AAMAS 2010: 1603-1604 - [c54]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara:
Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation. GECCO 2010: 1311-1312 - [c53]Yoshiki Kanda, Kensuke Fukuda, Toshiharu Sugawara:
Evaluation of Anomaly Detection Based on Sketch and PCA. GLOBECOM 2010: 1-5 - [c52]Toshiharu Sugawara, Toshio Hirotsu, Kensuke Fukuda:
Probabilistic Award Strategy for Contract Net Protocol in Massively Multi-agent Systems. ICAART (2) 2010: 165-171 - [c51]Toshio Hirotsu, Shinnosuke Nishitani, Hirotake Abe, Kyoji Umemura, Kensuke Fukuda, Satoshi Kurihara, Toshiharu Sugawara:
A Light-Weight Autonomous Power Saving Method for Wireless Sensor Networks. ICAS 2010: 188-193 - [c50]Yoshiki Kanda, Kensuke Fukuda, Toshiharu Sugawara:
A Flow Analysis for Mining Traffic Anomalies. ICC 2010: 1-5 - [c49]Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda, Osamu Akashi, Hirotake Abe, Toshiharu Sugawara:
Dynamic and distributed routing control for virtualized local area networks. LCN 2010: 212-215 - [c48]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara:
Effect of Alternative Distributed Task Allocation Strategy Based on Local Observations in Contract Net Protocol. PRIMA 2010: 90-104
2000 – 2009
- 2009
- [c47]Kensuke Takahashi, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara:
Estimation of Sensor Network Topology Using Ant Colony Optimization. ICANNGA 2009: 263-272 - [c46]Shin-ya Sato, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Toshiharu Sugawara:
Estimating Relevance of Items on Basis of Proximity of User Groups on Blogspace. Web Intelligence 2009: 157-164 - 2008
- [j9]Osamu Akashi, Kensuke Fukuda, Toshio Hirotsu, Toshiharu Sugawara:
Policy-based BGP-control architecture for inter-AS routing adjustment. Comput. Commun. 31(13): 2996-3002 (2008) - [c45]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda:
Adaptive manager-side control policy in contract net protocol for massively multi-agent systems. AAMAS (3) 2008: 1433-1436 - [c44]Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda:
Controling Contract Net Protocol by Local Observation for Large-Scale Multi-Agent Systems. CIA 2008: 206-220 - [c43]Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Toshiharu Sugawara:
Correlation Among Piecewise Unwanted Traffic Time Series. GLOBECOM 2008: 1616-1620 - [c42]Kensuke Takahashi, Toshiharu Sugawara:
Estimation of sensor-network topology from time-series sensor data using ant colony optimization method. SIS 2008: 1-6 - [c41]Shin-ya Sato, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Toshiharu Sugawara:
Co-occurrence Analysis Focused on Blogger Communities. Web Intelligence 2008: 372-376 - [e1]Nadeem Jamali, Paul Scerri, Toshiharu Sugawara:
Massively Multi-Agent Technology, AAMAS Workshops, MMAS 2006, LSMAS 2006, and CCMMS 2007 Hakodate, Japan, May 9, 2006, Honolulu, HI, USA, May 15, 2007, Selected and Revised Papers. Lecture Notes in Computer Science 5043, Springer 2008, ISBN 978-3-540-85448-7 [contents] - 2007
- [c40]Satoshi Kurihara, Kensuke Fukuda, Shin-ya Sato, Toshiharu Sugawara:
Multi-Agent Coordination Mechanism Based on Indirect Interaction. AINA Workshops (1) 2007: 68-72 - [c39]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Toshihiro Takada:
Conflict estimation of abstract plans for multiagent systems. AAMAS 2007: 125 - [c38]Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda:
Performance variation due to interference among a large number of self-interested agents. IEEE Congress on Evolutionary Computation 2007: 766-773 - [c37]Osamu Akashi, Kensuke Fukuda, Toshio Hirotsu, Toshiharu Sugawara:
Analysis of Diagnostic Capability for Hijacked Route Problem. IPOM 2007: 37-48 - [c36]Osamu Akashi, Atsushi Terauchi, Kensuke Fukuda, Toshio Hirotsu, Toshiharu Sugawara:
Lisp-based agent platform and applications for inter-domain network management. ILC 2007: 14 - [c35]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Toshihiro Takada:
Effective Selection of Abstract Plans for Multi-Agent Systems. SGAI Conf. 2007: 223-236 - [c34]Shin-ya Sato, Kensuke Fukuda, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara:
Generating Extensional Definitions of Concepts from Ostensive Definitions by Using Web. WISE 2007: 583-592 - [p2]Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Osamu Akashi, Shin-ya Sato, Toshiharu Sugawara:
The Impact of Network Model on Performance of Load-balancing. Emergent Intelligence of Networked Agents 2007: 23-37 - [p1]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Satoshi Kurihara:
Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/ Non-Adaptive Agent Selection. Emergent Intelligence of Networked Agents 2007: 217-230 - 2006
- [c33]Osamu Akashi, Kensuke Fukuda, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara:
Application of a Massively Multi-Agent System to Internet Routing Management. MMAS/LSMAS/CCMMS 2006: 131-145 - [c32]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Shin-ya Sato, Osamu Akashi:
Total performance by local agent selection strategies in multi-agent systems. AAMAS 2006: 601-608 - [c31]Satoshi Kurihara, Shin-ya Sato, Kensuke Fukuda, Toshiharu Sugawara:
How can agent know the global information without close coordination? AAMAS 2006: 682-684 - [c30]Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Shin-ya Sato, Osamu Akashi, Toshiharu Sugawara:
Dependency of Network Structures in Agent Selection and Deployment. IAT 2006: 37-44 - [c29]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Satoshi Kurihara:
Multi-Agent Systems Performance by Adaptive/Non-Adaptive Agent Selection. IAT 2006: 555-559 - [c28]Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Shin-ya Sato, Satoshi Kurihara:
Adaptive Agent Selection in Large-Scale Multi-Agent Systems. PRICAI 2006: 818-822 - [c27]Osamu Akashi, Kensuke Fukuda, Toshio Hirotsu, Toshiharu Sugawara:
Policy-based BGP control architecture for autonomous routing management. INM@SIGCOMM 2006: 77-82 - 2005
- [c26]Toshiharu Sugawara, Satoshi Kurihara, Toshio Hirotsu, Kensuke Fukuda, Toshihiro Takada:
Predicting possible conflicts in hierarchical planning for multi-agent systems. AAMAS 2005: 813-820 - [c25]Osamu Akashi, Atsushi Terauchi, Kensuke Fukuda, Toshio Hirotsu, Mitsuru Maruyama, Toshiharu Sugawara:
Detection and Diagnosis of Inter-AS Routing Anomalies by Cooperative Intelligent Agents. DSOM 2005: 181-192 - [c24]Kensuke Fukuda, Shin-ya Sato, Osamu Akashi, Toshio Hirotsu, Satoshi Kurihara, Toshiharu Sugawara:
On the Use of Hierarchical Power-law Network Topology for Server Selection and Allocation in Multi-Agent Systems. IAT 2005: 81-88 - [c23]Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Toshiharu Sugawara:
Time and Space Correlation in BGP Messages. ICOIN 2005: 215-222 - [c22]Atsushi Terauchi, Osamu Akashi, Mitsuru Maruyama, Kensuke Fukuda, Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara:
ARTISTE: Agent Organization Management System for Multi-Agent Systems. PRIMA 2005: 207-221 - [c21]Satoshi Kurihara, Kensuke Fukuda, Shin-ya Sato, Toshiharu Sugawara:
Effective Decision Making by Self-evaluation in the Multi-agent Environment. WINE 2005: 631-640 - 2004
- [c20]Toshiharu Sugawara, Satoshi Kurihara, Shigemi Aoyagi, Koji Sato, Toshihiro Takada:
An Implementation for Capturing Clickable Moving Objects. APCHI 2004: 441-450 - [c19]Toshiharu Sugawara, Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada:
Reusing Coordination and Negotiation Strategies in Multi-Agent Systems for Ubiquitous Network Environment. AAMAS 2004: 496-503 - [c18]Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shin-ya Sato, Toshiharu Sugawara:
How Collective Intelligence Emerge in Complex Environment? BioADIT 2004: 484-495 - [c17]Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada, Toshiharu Sugawara:
Multi-agent Human-Environment Interaction Framework for the Ubiquitous Environment. MMAS 2004: 217-223 - 2003
- [c16]Satoshi Kurihara, Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Shin-ya Sato, Toshiharu Sugawara:
Simple but efficient collaboration in a complex competitive situation. AAMAS 2003: 1042-1043 - [c15]Toshiharu Sugawara, Satoshi Kurihara, Osamu Akashi:
Learning implicit resource relationships from past plans in multi-agent systems. AAMAS 2003: 1130-1131 - [c14]Kenichi Kourai, Toshio Hirotsu, Koji Sato, Osamu Akashi, Kensuke Fukuda, Toshiharu Sugawara, Shigeru Chiba:
Secure and Manageable Virtual Private Networks for End-users. LCN 2003: 385-394 - [c13]Toshiharu Sugawara, Satoshi Kurihara, Osamu Akashi:
Extraction of Implicit Resource Relationships in Multi-agent Systems. PRIMA 2003: 37-49 - [c12]Osamu Akashi, Toshio Hirotsu, Koji Sato, Kenichi Kourai, Mitsuro Maruyama, Toshiharu Sugawara:
Agents Support for Flexible Inter-AS Policy Control. SAINT Workshops 2003: 294-298 - [c11]Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu, Toshiharu Sugawara:
Proximity Mining: Finding Proximity using Sensor Data History. WMCSA 2003: 129-138 - 2002
- [j8]Osamu Akashi, Toshiharu Sugawara, Ken-ichiro Murakami, Mitsuro Maruyama, Kei'ichi Koyanagi:
Agent System for Inter-AS Routing Error Diagnosis. IEEE Internet Comput. 6(3): 78-82 (2002) - [c10]Shigemi Aoyagi, Toshihiro Takada, Koji Sato, Toshiharu Sugawara, Rikio Onai:
Video Skimming Method for Flexible Play Time. IMSA 2002: 330-335 - [c9]Koji Sato, Toshio Hirotsu, Kensuke Fukuda, Osamu Akashi, Toshiharu Sugawara:
Clea: A framework for the Coordination of Applications and Networks. JCIS 2002: 948-951 - 2001
- [j7]Toshiharu Sugawara, Ken-ichiro Murakami, Shigeki Goto:
A multi-agent monitoring and diagnostic system for TCP/IP-based network and its coordination. Knowl. Based Syst. 14(7): 367-383 (2001) - 2000
- [c8]Toshiharu Sugawara, Osamu Akashi, Satoshi Kurihara, Shin-ya Sato:
An Organization-Related Information Maintenance Component. ICMAS 2000: 443-444 - [c7]Osamu Akashi, Toshiharu Sugawara, Ken Murakami, Mitsuru Maruyama, Naohisa Takahashi:
Multiagent-based cooperative inter-AS diagnosis in ENCORE. NOMS 2000: 521-534
1990 – 1999
- 1999
- [j6]Satoshi Kurihara, Rikio Onai, Toshiharu Sugawara:
Adaptive Reinforcement Learning Integrating Exploitation-and Exploration-oriented Learning. J. Adv. Comput. Intell. Intell. Informatics 3(6): 474-478 (1999) - [c6]Osamu Akashi, Toshiharu Sugawara, Ken-ichiro Murakami, Mitsuru Maruyama, Naohisa Takahashi:
Cooperative Analysis in Inter-AS Diagnostic System ENCORE . ASA/MA 1999: 256-257 - 1998
- [j5]Satoshi Kurihara, Toshiharu Sugawara, Rikio Onai:
Self-organization based on nonlinear nonequilibrium. Dynamics of autonomous agents. Artif. Life Robotics 2(3): 102-107 (1998) - [j4]Toshiharu Sugawara, Victor R. Lesser:
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments. Mach. Learn. 33(2-3): 129-153 (1998) - [j3]Satoshi Kurihara, Shigemi Aoyagi, Rikio Onai, Toshiharu Sugawara:
Adaptive selection of reactive/deliberate planning for a dynamic environment. Robotics Auton. Syst. 24(3-4): 183-195 (1998) - [c5]Toshiharu Sugawara, Satoshi Kurihara:
Learning Message-Related Coordination Control in Multiagent Systems. DAI 1998: 29-44 - [c4]Satoshi Kurihara, Rikio Onai, Toshiharu Sugawara:
Multi-Agent Reinforcement Learning System Integrating Exploitation and Exploration-Oriented Learning. DAI 1998: 45-57 - 1997
- [j2]Toshiharu Sugawara:
Plan reuse in cooperative, distributed problem-solving. Syst. Comput. Jpn. 28(6): 60-67 (1997) - 1995
- [c3]Toshiharu Sugawara:
Reusing Past Plans in Distributed Planning. ICMAS 1995: 360-367 - [c2]Toshiharu Sugawara, Victor R. Lesser:
Learning Coordination Plans in Distributed Problem-Solving Environments. ICMAS 1995: 462 - 1992
- [j1]Toshiharu Sugawara:
A diagnostic and observation expert system for large TCP/IP-based internetworks. Syst. Comput. Jpn. 23(2): 14-23 (1992)
1980 – 1989
- 1984
- [c1]Yutaka Ogawa, Kenichi Shima, Toshiharu Sugawara, Shigeru Takagi:
Knowledge Representation and INference Environment: KRINE, - An Approach to Integration of Frame, Prolog, and Graphics. FGCS 1984: 643-651
Coauthor Index
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