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  • Strengthening Agents Strategic Ability with Communication

    Author(s)
    Huang, Xiaowei
    Chen, Qingliang
    Su, Kaile
    Griffith University Author(s)
    Su, Kaile
    Year published
    2016
    Metadata
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    Abstract
    The current frameworks of reasoning about agents' collective strategy are either too conservative or too liberal in terms of the sharing of local information between agents. In this paper, we argue that in many cases, a suitable amount of information is required to be communicated between agents to both enforce goals and keep privacy. Several communication operators are proposed to work with an epistemic strategy logic ATLK. The complexity of model checking resulting logics is studied, and surprisingly, we found that the additional expressiveness from the communication operators comes for free.The current frameworks of reasoning about agents' collective strategy are either too conservative or too liberal in terms of the sharing of local information between agents. In this paper, we argue that in many cases, a suitable amount of information is required to be communicated between agents to both enforce goals and keep privacy. Several communication operators are proposed to work with an epistemic strategy logic ATLK. The complexity of model checking resulting logics is studied, and surprisingly, we found that the additional expressiveness from the communication operators comes for free.
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    Conference Title
    Proceedings of the 30th Conference on Artificial Intelligence
    Publisher URI
    https://www.aaai.org/Press/Proceedings/aaai16.php
    Subject
    Artificial intelligence not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/142141
    Collection
    • Conference outputs

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