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Simulations for Multi-Agent Systems with Imperfect Information

机译:信息不完善的多智能体系统的仿真

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Equivalence-checking and simulations are well-known methods used to reduce the size of a system in order to verify it more efficiently. While Alur et al. proposed a notion of simulation sound and complete for ATL as early as 1998, there have been very few works on equivalence-checking performed on extensions of ATL* with probabilities, imperfect information, counters etc. In the case of multi-agent systems (MASs) with imperfect information, the lack of sound and complete algorithm mostly follows from the undecidability of ATL model-checking. However, while ATL is undecidable overall, there exist sub-classes of MASs for which ATL becomes decidable. In this paper, we propose a notion of simulation sound for ATL/ATL* on any MASs and complete on naive MASs. Using our simulations we design an equivalence-checking algorithm sound and complete for MASs with public actions.
机译:等效检查和模拟是众所周知的方法,用于减小系统大小以更有效地进行验证。而Alur等。早在1998年就提出了ATL的模拟声音且完整的概念,关于具有概率,不完善信息,计数器等的ATL *扩展进行的等效性检查工作很少。在多主体系统(MAS)的情况下, )由于信息不完善,缺乏声音和完整的算法主要是由于ATL模型检查的不确定性所致。但是,虽然ATL总体上无法确定,但是存在MAS的子类,ATL可以确定。在本文中,我们提出了在任何MAS上针对ATL / ATL *进行模拟声音的概念,并在纯朴的MAS上完成了模拟声音的概念。使用我们的模拟,我们设计了等效检查算法,适用于具有公共行动的MAS。

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