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  • Quantified Coalition Logic for BDI-Agents: Completeness and Complexity

    Author(s)
    Chen, Qingliang
    Li, Qun
    Su, Kaile
    Luo, Xiangyu
    Griffith University Author(s)
    Su, Kaile
    Year published
    2014
    Metadata
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    Abstract
    This paper introduces a multi-dimensional modal logic of Quantified Coalition Logic of Beliefs, Desires and Intentions (QCLBDI) to reason about how agents' mental attitudes evolve by cooperation in game-like multi-agent systems. We present a complete axiomatic system of QCLBDI with the formal proof and show that the satisfiability for QCLBDI is PSPACE-complete, computationally no harder than that of CL.This paper introduces a multi-dimensional modal logic of Quantified Coalition Logic of Beliefs, Desires and Intentions (QCLBDI) to reason about how agents' mental attitudes evolve by cooperation in game-like multi-agent systems. We present a complete axiomatic system of QCLBDI with the formal proof and show that the satisfiability for QCLBDI is PSPACE-complete, computationally no harder than that of CL.
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    Conference Title
    13th Pacific Rim International Conference on Artificial Intelligence Proceedings
    Publisher URI
    http://www.pricai2014.org/
    DOI
    https://doi.org/10.1007/978-3-319-13560-1_72
    Subject
    Computational Logic and Formal Languages
    Artificial Intelligence and Image Processing
    Computation Theory and Mathematics
    Publication URI
    http://hdl.handle.net/10072/68023
    Collection
    • Conference outputs

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