Bounded model checking of strategy ability with perfect recall

作者: Xiaowei Huang

DOI: 10.1016/J.ARTINT.2015.01.005

关键词:

摘要: The paper works with a logic which has the expressiveness to quantify over strategies of bounded length. semantics is based on systems multiple agents. Agents have incomplete information about underlying system state and their are perfect recall memory observations local actions. computational complexity model checking shown be PSPACE-complete. We give two BDD-based algorithms. algorithms implemented in checker experimental results reported show applications.

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