Distributed search for pure nash equilibria in graphical games

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Scopus citations

    Abstract

    Graphical games introduce a compact representation, where agents' outcomes depend only on their neighbors. A distributed search algorithm for pure Nash equilibria of graphical games is presented. The algorithm uses the analogy of graphical games with asymmetric distributed constraints optimization problems (ADCOPs). The proposed algorithm includes three components - an admissible pruning heuristic; a back-checking mechanism; and a pseudo tree representation of the game. An experimental evaluation of the components of the proposed search algorithm is presented for randomly generated networks of multiple agents. The major speedup over a naive search algorithm is shown to arise from the use of a pseudo tree representation. A simple assessment method of the privacy loss due to back-checking is presented and is shown to result in a tradeoff between the performance of the complete algorithm and its privacy loss.

    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)
    Pages1279-1280
    Number of pages2
    ISBN (Electronic)9781450342391
    StatePublished - 1 Jan 2016
    Event15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016 - Singapore, Singapore
    Duration: 9 May 201613 May 2016

    Publication series

    NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
    ISSN (Print)1548-8403
    ISSN (Electronic)1558-2914

    Conference

    Conference15th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2016
    Country/TerritorySingapore
    CitySingapore
    Period9/05/1613/05/16

    Keywords

    • DCOP
    • Distributed problem solving
    • Nash equilibrium
    • Privacy

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Software
    • Control and Systems Engineering

    Fingerprint

    Dive into the research topics of 'Distributed search for pure nash equilibria in graphical games'. Together they form a unique fingerprint.

    Cite this