Cooperative behavior of agents based on potential field

Takashi Katoh, Kensaku Hoshi, Norio Shiratori

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

    Abstract

    In non-communicative environment, it is important for agents to assess the situation prevailing in the system, especially to anticipate other agents' intentions. In this paper, we argue in favor of cooperation among agents and propose a new method to utilize potential field as a tool for estimation of the environment. In our method, potential of environment gives agents some criteria to assess environmental situations from their own perspective. The potential of each object represents its influence on the environment and the environmental potential, i.e., summation of each object's potential, represents global situation of the environment. Agents' decision of their behavior will be done by refining the policy obtained from potential. We use a trash collecting problem as an example to show the effectiveness of our method. Furthermore, we show the efficiency of our method by some sets of experiments of the trash collecting problem. We also discuss the applicability of our method to hybrid systems or environments where agents' range of vision are limited.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages236-245
    Number of pages10
    Volume3690 LNAI
    DOIs
    Publication statusPublished - 2005
    Event4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005 - Budapest
    Duration: 2005 Sep 152005 Sep 17

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3690 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005
    CityBudapest
    Period05/9/1505/9/17

    Fingerprint

    Cooperative Behavior
    Potential Field
    Hybrid systems
    Hybrid Systems
    Summation
    Refining
    Range of data
    Experiment
    Experiments

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Katoh, T., Hoshi, K., & Shiratori, N. (2005). Cooperative behavior of agents based on potential field. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3690 LNAI, pp. 236-245). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3690 LNAI). https://doi.org/10.1007/11559221_24

    Cooperative behavior of agents based on potential field. / Katoh, Takashi; Hoshi, Kensaku; Shiratori, Norio.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3690 LNAI 2005. p. 236-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3690 LNAI).

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

    Katoh, T, Hoshi, K & Shiratori, N 2005, Cooperative behavior of agents based on potential field. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3690 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3690 LNAI, pp. 236-245, 4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005, Budapest, 05/9/15. https://doi.org/10.1007/11559221_24
    Katoh T, Hoshi K, Shiratori N. Cooperative behavior of agents based on potential field. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3690 LNAI. 2005. p. 236-245. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11559221_24
    Katoh, Takashi ; Hoshi, Kensaku ; Shiratori, Norio. / Cooperative behavior of agents based on potential field. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3690 LNAI 2005. pp. 236-245 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
    @inproceedings{a83da1f0569c4e93959f7687c9afeff2,
    title = "Cooperative behavior of agents based on potential field",
    abstract = "In non-communicative environment, it is important for agents to assess the situation prevailing in the system, especially to anticipate other agents' intentions. In this paper, we argue in favor of cooperation among agents and propose a new method to utilize potential field as a tool for estimation of the environment. In our method, potential of environment gives agents some criteria to assess environmental situations from their own perspective. The potential of each object represents its influence on the environment and the environmental potential, i.e., summation of each object's potential, represents global situation of the environment. Agents' decision of their behavior will be done by refining the policy obtained from potential. We use a trash collecting problem as an example to show the effectiveness of our method. Furthermore, we show the efficiency of our method by some sets of experiments of the trash collecting problem. We also discuss the applicability of our method to hybrid systems or environments where agents' range of vision are limited.",
    author = "Takashi Katoh and Kensaku Hoshi and Norio Shiratori",
    year = "2005",
    doi = "10.1007/11559221_24",
    language = "English",
    isbn = "354029046X",
    volume = "3690 LNAI",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    pages = "236--245",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

    }

    TY - GEN

    T1 - Cooperative behavior of agents based on potential field

    AU - Katoh, Takashi

    AU - Hoshi, Kensaku

    AU - Shiratori, Norio

    PY - 2005

    Y1 - 2005

    N2 - In non-communicative environment, it is important for agents to assess the situation prevailing in the system, especially to anticipate other agents' intentions. In this paper, we argue in favor of cooperation among agents and propose a new method to utilize potential field as a tool for estimation of the environment. In our method, potential of environment gives agents some criteria to assess environmental situations from their own perspective. The potential of each object represents its influence on the environment and the environmental potential, i.e., summation of each object's potential, represents global situation of the environment. Agents' decision of their behavior will be done by refining the policy obtained from potential. We use a trash collecting problem as an example to show the effectiveness of our method. Furthermore, we show the efficiency of our method by some sets of experiments of the trash collecting problem. We also discuss the applicability of our method to hybrid systems or environments where agents' range of vision are limited.

    AB - In non-communicative environment, it is important for agents to assess the situation prevailing in the system, especially to anticipate other agents' intentions. In this paper, we argue in favor of cooperation among agents and propose a new method to utilize potential field as a tool for estimation of the environment. In our method, potential of environment gives agents some criteria to assess environmental situations from their own perspective. The potential of each object represents its influence on the environment and the environmental potential, i.e., summation of each object's potential, represents global situation of the environment. Agents' decision of their behavior will be done by refining the policy obtained from potential. We use a trash collecting problem as an example to show the effectiveness of our method. Furthermore, we show the efficiency of our method by some sets of experiments of the trash collecting problem. We also discuss the applicability of our method to hybrid systems or environments where agents' range of vision are limited.

    UR - http://www.scopus.com/inward/record.url?scp=33646148730&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=33646148730&partnerID=8YFLogxK

    U2 - 10.1007/11559221_24

    DO - 10.1007/11559221_24

    M3 - Conference contribution

    SN - 354029046X

    SN - 9783540290469

    VL - 3690 LNAI

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 236

    EP - 245

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    ER -