Emergence of conventions in conflict situations in complex agent network environments

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

    1 Citation (Scopus)

    Abstract

    We modelled the conflict situation using a Markov game on various complex networks and investigated the emergence of conventions for conflict resolutions in agent networks with various structures through pairwise reinforcement learning. We found the network structure strongly affected their emergence and the agents could sometimes learn no conventions although they could learn locally consistent actions for resolutions.

    Original languageEnglish
    Title of host publication13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
    PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
    Pages1459-1460
    Number of pages2
    Volume2
    ISBN (Print)9781634391313
    Publication statusPublished - 2014
    Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris
    Duration: 2014 May 52014 May 9

    Other

    Other13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
    CityParis
    Period14/5/514/5/9

    Fingerprint

    Reinforcement learning
    Complex networks

    Keywords

    • Conflict resolution
    • Conventions
    • Norms
    • Social networks

    ASJC Scopus subject areas

    • Artificial Intelligence

    Cite this

    Sugawara, T. (2014). Emergence of conventions in conflict situations in complex agent network environments. In 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 (Vol. 2, pp. 1459-1460). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).

    Emergence of conventions in conflict situations in complex agent network environments. / Sugawara, Toshiharu.

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

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

    Sugawara, T 2014, Emergence of conventions in conflict situations in complex agent network environments. in 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. vol. 2, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 1459-1460, 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, Paris, 14/5/5.
    Sugawara T. Emergence of conventions in conflict situations in complex agent network environments. In 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. Vol. 2. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). 2014. p. 1459-1460
    Sugawara, Toshiharu. / Emergence of conventions in conflict situations in complex agent network environments. 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. Vol. 2 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2014. pp. 1459-1460
    @inproceedings{1352c07811b54a7d9f4c6f815beb87dc,
    title = "Emergence of conventions in conflict situations in complex agent network environments",
    abstract = "We modelled the conflict situation using a Markov game on various complex networks and investigated the emergence of conventions for conflict resolutions in agent networks with various structures through pairwise reinforcement learning. We found the network structure strongly affected their emergence and the agents could sometimes learn no conventions although they could learn locally consistent actions for resolutions.",
    keywords = "Conflict resolution, Conventions, Norms, Social networks",
    author = "Toshiharu Sugawara",
    year = "2014",
    language = "English",
    isbn = "9781634391313",
    volume = "2",
    pages = "1459--1460",
    booktitle = "13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014",
    publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",

    }

    TY - GEN

    T1 - Emergence of conventions in conflict situations in complex agent network environments

    AU - Sugawara, Toshiharu

    PY - 2014

    Y1 - 2014

    N2 - We modelled the conflict situation using a Markov game on various complex networks and investigated the emergence of conventions for conflict resolutions in agent networks with various structures through pairwise reinforcement learning. We found the network structure strongly affected their emergence and the agents could sometimes learn no conventions although they could learn locally consistent actions for resolutions.

    AB - We modelled the conflict situation using a Markov game on various complex networks and investigated the emergence of conventions for conflict resolutions in agent networks with various structures through pairwise reinforcement learning. We found the network structure strongly affected their emergence and the agents could sometimes learn no conventions although they could learn locally consistent actions for resolutions.

    KW - Conflict resolution

    KW - Conventions

    KW - Norms

    KW - Social networks

    UR - http://www.scopus.com/inward/record.url?scp=84911436848&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84911436848&partnerID=8YFLogxK

    M3 - Conference contribution

    AN - SCOPUS:84911436848

    SN - 9781634391313

    VL - 2

    SP - 1459

    EP - 1460

    BT - 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014

    PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

    ER -