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

Ryosuke Shibusawa, Tomoaki Otsuka, Toshiharu Sugawara

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

    1 Citation (Scopus)

    Abstract

    This paper proposes a behavioral strategy called expectation of cooperation strategy with which cooperation in the prisoner's dilemma game emerges in agent networks by incorporating Q-learning. The proposed strategy is simple and easy to implement but nevertheless can evolve and maintain cooperation in all agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation emerged.

    Original languageEnglish
    Title of host publicationAAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems
    PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
    Pages1333-1334
    Number of pages2
    ISBN (Electronic)9781450342391
    Publication statusPublished - 2016
    Event15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, Singapore
    Duration: 2016 May 92016 May 13

    Other

    Other15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
    CountrySingapore
    CitySingapore
    Period16/5/916/5/13

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    Keywords

    • Complex networks
    • Norm
    • Prisoner's dilemma

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software
    • Control and Systems Engineering

    Cite this

    Shibusawa, R., Otsuka, T., & Sugawara, T. (2016). Emergence of cooperation in complex agent networks based on expectation of cooperation. In AAMAS 2016 - Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems (pp. 1333-1334). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).