基于不确定性的多智能体逻辑认知语义

C. Areces, Raul Fervari, Andrés R. Saravia, Fernando R. Vel'azquez-Quesada
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引用次数: 7

摘要

基于计划之间的不可区分关系,我们引入了一种新的多智能体认知算子的语义。可以说,我们的建议更接近于经典认知逻辑中已知模态的标准表示。我们研究了这种语义和以前的方法之间的关系,表明我们的设置足够通用,可以捕获它们。我们还定义了一个完备的公理化,并研究了其模型检验和可满足性问题的计算复杂度。
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Uncertainty-Based Semantics for Multi-Agent Knowing How Logics
We introduce a new semantics for a multi-agent epistemic operator of knowing how, based on an indistinguishability relation between plans. Our proposal is, arguably, closer to the standard presentation of knowing that modalities in classical epistemic logic. We study the relationship between this semantics and previous approaches, showing that our setting is general enough to capture them. We also define a sound and complete axiomatization, and investigate the computational complexity of its model checking and satisfiability problems.
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