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Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability

机译:基于逻辑可分性的多代理模态逻辑分析正常形式

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Modal logics are primary formalisms for multi-agent systems but major reasoning tasks in such logics are intractable, which impedes applications of multi-agent modal logics such as automatic planning. One technique of tackling the intractability is to identify a fragment called a normal form of multi-agent logics such that it is expressive but tractable for reasoning tasks such as entailment checking, bounded conjunction transformation and forgetting. For instance, DNF of propositional logic is tractable for these reasoning tasks. In this paper, we first introduce a notion of logical separability and then define a novel disjunctive normal form SDNF for the multi-agent logic K_n, which overcomes some shortcomings of existing approaches. In particular, we show that every modal formula in K_n, can be equivalently casted as a formula in SDNF, major reasoning tasks tractable in propositional D N F are also tractable in SDNF, and moreover, formulas in SDNF enjoy the property of logical separability. To demonstrate the usefulness of our approach, we apply SDNF in multi-agent epistemic planning. Finally, we extend these results to three more complex multi-agent logics D_n, K45_n and KD45_n.
机译:模态逻辑是多种代理系统的主要形式主义,但这种逻辑中的主要推理任务是棘手的,其阻碍了多智能体模态逻辑等自动规划的应用。解决诡计的一种技术是识别称为正常形式的多代理逻辑形式的片段,使得它是表达的,而是用于推理任务,例如需要检查,有界结合转换和遗忘。例如,命题逻辑的DNF对于这些推理任务来说是易行的。在本文中,我们首先介绍了逻辑可分离性的概念,然后为多代理逻辑K_N定义了一种新的分解正常形式SDNF,其克服了现有方法的一些缺点。特别地,我们表明K_N中的每个模态配方,可以等效地铸造为SDNF中的公式,在命题D N F中的主要推理任务也是在SDNF中进行的,而且,SDNF中的公式享受逻辑可分离性的性质。为了证明我们的方法的有用性,我们在多智能经纪人认知计划中申请SDNF。最后,我们将这些结果扩展到三个更复杂的多代理逻辑D_N,K45_N和KD45_N。

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