Knowledge sharing in coalitions

Guifei Jiang, Dongmo Zhang, Laurent Perrussel

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    Abstract

    ![CDATA[The aim of this paper is to investigate the interplay between knowledge shared by a group of agents and its coalition ability. We characterize this relation in the standard context of imperfect information concurrent game. We assume that whenever a set of agents form a coalition to achieve a goal, they share their knowledge before acting. Based on this assumption, we propose a new semantics for alternating-time temporal logic with imperfect information and perfect recall. It turns out this semantics is sufficient to preserve all the desirable properties of coalition ability in traditional coalitional logics. Meanwhile, we also show that the fixed-point characterisations of coalition operators which normally fail in the context of imperfect information can be recovered through the interplay of epistemic and coalition modalities. This work provides a partial answer to the question: which kind of group knowledge is required for a group to achieve their goals in the context of imperfect information.]]
    Original languageEnglish
    Title of host publicationAI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 - December 4, 2015: Proceedings
    PublisherSpringer
    Pages249-262
    Number of pages14
    ISBN (Print)9783319263496
    DOIs
    Publication statusPublished - 2015
    EventAustralasian Joint Conference on Artificial Intelligence -
    Duration: 30 Nov 2015 → …

    Publication series

    Name
    ISSN (Print)0302-9743

    Conference

    ConferenceAustralasian Joint Conference on Artificial Intelligence
    Period30/11/15 → …

    Keywords

    • artificial intelligence
    • multiagent systems

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