Search Results 1-20 of 1499

  • Broadcast control of multi-agent systems with local observation  [in Japanese]

    松原 宏和 , 東 俊一 , 有泉 亮 , 浅井 徹

    システム制御情報学会研究発表講演会講演論文集 64, 768-771, 2020-05-20

  • Consideration on fault detection for multi-agent system with Support Vector Machine  [in Japanese]

    中村 幸紀 , 清遠 大知 , 松崎 久志 , 平田 健太郎 , 岡野 訓尚

    電気学会研究会資料. CT 2020(44-47・49-55), 1-3, 2020-03-27

  • Two approximation algorithms for probabilistic coalition structure generation with quality bound

    Matsumura Kouki , Kodric Bojana , Okimoto Tenda , Hirayama Katsutoshi

    … How to form effective coalitions is an important issue in multi-agent systems. … Coalition Structure Generation (CSG) is a fundamental problem whose formalization can encompass various applications related to multi-agent cooperation. … In traditional CSG, we are guaranteed that all coalitions will be successfully established, that is, the attendance rate of each agent for joining any coalition is assumed to be 1.0. …

    Autonomous Agents and Multi-Agent Systems 34(1), 25, 2020-02-18

    IR 

  • Effect of picker congestion on travel time in an order picking operation

    TAJIMA Erika , SUZUKI Masaaki , ISHIGAKI Aya , HAMADA Masato , KAWAI Wataru

    … Here, the picker targets multi-picking, which entails the collection of multiple products in one tour, and the picker always selects the shortest route for collecting the products. … In this research, the behavior of the pickers is modeled using a multi-agent system, such that multiple pickers pass one another in the warehouse and a conflict due to excessive congestion is reproduced. …

    Journal of Advanced Mechanical Design, Systems, and Manufacturing 14(5), JAMDSM0072-JAMDSM0072, 2020

    J-STAGE 

  • Triggering positiveness by building social-relationships using cyclical update socio-emotional intention  [in Japanese]

    KUNO Masato , NISHIDA Toyoaki , OHMOTO Yoshimasa

    … Then, we assume that two resources are acquired by the agent acting on the socio-emotional interaction, and the social-relationship can be built. … Then, the agent's intention model is updated based on the estimated user's intention model, and the socio-emotional behavior is generated accordingly. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 3O5GS1301-3O5GS1301, 2020

    J-STAGE 

  • Adaptive Distributed Compressed Sensing with Cooperative Multi-Agent Deep Reinforcement Learning  [in Japanese]

    SEKINE Masatoshi , IKADA Satoshi

    … <p>In recent years, monitoring systems using IoT for factory equipment and infrastructure have become important. … In this paper, we propose a more efficient compressed sensing method based on multi-agent deep reinforcement learning to extend LACSLE to the cooperation of multiple terminals. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 3Rin419-3Rin419, 2020

    J-STAGE 

  • Distributed Traffic Lights Control based on Swarm Intelligence  [in Japanese]

    FUJIMORI Ryu , OHNO Keisuke , KANZAKI Youhei , KURIHARA Satoshi

    … this paper propose two decentralized multi-agent signal control systems. … The first is a split and offset control method in which each agent controls traffic light based on traffic information obtained from itself and neighboring agents using spring model. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 2M5OS3b03-2M5OS3b03, 2020

    J-STAGE 

  • Data-driven modeling in human collective motions  [in Japanese]

    FUJII Keisuke

    … Here, I will introduce various approaches to solve this problem, and as an example, introduce a graph dynamic mode decomposition that extracts dynamical property in a dynamic network of multi-agent interactions. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 2C6OS7c02-2C6OS7c02, 2020

    J-STAGE 

  • Deep Reinforcement Learning Based on Opponent Model for Automated Negotiating Agents  [in Japanese]

    TAKAHASHI Toki , FUJITA Katsuhide

    … a negotiating agent that can respond to various negotiation strategies and negotiation scenarios.In addition, we propose an environment for deep reinforcement learning that uses information obtained by opponent model, which is a method of estimating the utility function of an opponent, as a state.As a result of the negotiation simulation experiment, it was confirmed that the agent who learned by the proposed method gained significantly higher individual utility than the agent who learned without …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 1P3GS704-1P3GS704, 2020

    J-STAGE 

  • A Study on human-robot collaborative service systems:Simulation based evaluation of AGVs operation in food service company  [in Japanese]

    SAKURAI Tokuro , KANAZAWA Hiroatsu , FUJII Nobutada , SHIMMURA Takeshi

    … Rules of AGV running and battery charge with the goal of reducing total food retention time in the kitchen has been resolved by computer experiment utilizing multi-agent simulation. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 1F3OS2a03-1F3OS2a03, 2020

    J-STAGE 

  • A Target Voltage Control Method for Distribution Systems based on Nodal P&Q Prices for PV Distributed Generators  [in Japanese]

    Yorino Naoto , Watakabe Tsubasa , Khalifa Ahmed Bedawy , Sasaki Yutaka , Zoka Yoshifumi

    … <p>An optimization of distribution system with Distributed Generators (DGs) is a big challenge in recent power systems. … Based on multi-agent architecture, an effective distributed control is performed effectively. … A management agent performs an optimal power flow computation to determine the optimal voltage profiles and the shadow prices of real and reactive powers, which are transferred to the local individual agents through a common blackboard memory. …

    IEEJ Transactions on Power and Energy 140(6), 456-464, 2020

    J-STAGE 

  • Privacy-Aware Best-Balanced Multilingual Communication

    PITUXCOOSUVARN Mondheera , NAKAGUCHI Takao , LIN Donghui , ISHIDA Toru

    … Our contribution is to introduce a multi-agent system with secure computation that can protect the privacy of users in multilingual communication. … To our best knowledge, it is the first attempt to introduce multi-agent systems and secure computing to this area. …

    IEICE Transactions on Information and Systems E103.D(6), 1288-1296, 2020

    J-STAGE 

  • Minimum Implementation of Linear Traffic Lights for One-way Intersections  [in Japanese]

    Inuzuka Kosuke , Azuma Shun-ichi , Maruta Ichiro , Ariizumi Ryo , Asai Toru

    <p>Recent years, a new type of traffic lights, called the <i>linear traffic lights</i>, has been proposed. The linear traffic lights, which are placed at an intersection, monitor the …

    Transactions of the Institute of Systems, Control and Information Engineers 33(2), 49-56, 2020

    J-STAGE 

  • Analysis of Distributed Thompson Sampling based on Consensus Control  [in Japanese]

    Kamimura Motoki , Hayashi Naoki , Takai Shigemasa

    … <p>Recently, distributed control for multi-agent systems has attracted much attention. … Each agent makes a decision through interaction over a communication network. … We propose a cooperative Thompson sampling based on the consensus algorithm of multi-agent systems. …

    Transactions of the Institute of Systems, Control and Information Engineers 33(2), 57-65, 2020

    J-STAGE 

  • Representation and Learning Methods for Situation Evaluation in RoboCup Soccer Simulation

    AKIYAMA Hidehisa , NAKASHIMA Tomoharu , IGARASHI Harukazu

    … A soccer game is commonly known as an example of multi-agent systems in an uncertain and dynamic environment. …

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 32(2), 691-703, 2020

    J-STAGE 

  • Switched Pinning Control for Merging and Splitting Maneuvers of Vehicle Platoons

    WAKASA Takuma , NAGATANI Yoshiki , SAWADA Kenji , SHIN Seiichi

    … The former is pinning control, and the latter is consensus control in multi-agent control. …

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E103.A(4), 657-667, 2020

    J-STAGE 

  • Event-triggered and Self-triggered Formation Control of a Linear Multi-agent System  [in Japanese]

    Toyota Ryo , Kotani Kento , Namerikawa Toru

    … <p>In this paper, a distributed event-triggered formation control algorithm for a multi-agent system which consists of linear discrete-time agents is proposed. … Also, each agent have to observe their states from sensors. … Also the multi-agent system is guaranteed to achieve a formation by determining the triggering condition of the control input based on Lyapunov's stability theorem. …

    IEEJ Transactions on Electronics, Information and Systems 140(3), 303-311, 2020

    J-STAGE 

  • Self-Triggered Pinning Consensus Control for Multi-Agent Systems

    ANDOH Shun , KOBAYASHI Koichi , YAMASHITA Yuh

    … <p>Pinning control of multi-agent systems is a method that the external control input is added to some agents (pinning nodes), e.g., leaders. … Next, as an on-line algorithm, two methods, i.e., the multi-hop communication-based method and the observer-based method are proposed. …

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E103.A(2), 443-450, 2020

    IR  J-STAGE 

  • Distributed Subgradient Method for Constrained Convex Optimization with Quantized and Event-Triggered Communication

    HAYASHI Naoki , ISHIKAWA Kazuyuki , TAKAI Shigemasa

    … In the proposed method, each agent sends the quantized state to the neighbor agents only at its trigger times through the dynamic encoding and decoding scheme. … After the quantized and event-triggered information exchanges, each agent locally updates its state by a consensus-based subgradient algorithm. …

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E103.A(2), 428-434, 2020

    J-STAGE 

  • Theoretical Learning Goal Selection for Non-Communicative Multi-Agent Cooperation  [in Japanese]

    Uwano Fumito , Takadama Keiki

    … Concretely PLA forces each agent to avoid the more difficult purposes requiring many time to be reached by limiting the purpose which it can achieve, and it forces the agents to learn cooperative policy as achieving the appropriate purpose among the limited purposes. …

    IEEJ Transactions on Electronics, Information and Systems 140(1), 75-84, 2020

    J-STAGE 

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