Relating Paths in Transition Systems

C. Dima, Bastien Maubert, S. Pinchinat
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引用次数: 2

Abstract

We revisit Janin and Walukiewicz’s classic result on the expressive completeness of the modal mu-calculus with respect to Monadic Second Order Logic (MSO), which is where the mu-calculus corresponds precisely to the fragment of MSO that is invariant under bisimulation. We show that adding binary relations over finite paths in the picture may alter the situation. We consider a general setting where finite paths of transition systems are linked by means of a fixed binary relation. This setting gives rise to natural extensions of MSO and the mu-calculus, that we call the MSO with paths relation and the jumping mu-calculus, the expressivities of which we aim at comparing. We first show that “bounded-memory” binary relations bring about no additional expressivity to either of the two logics, and thus preserve expressive completeness. In contrast, we show that for a natural, classic “infinite-memory” binary relation stemming from games with imperfect information, the existence of a winning strategy in such games, though expressible in the bisimulation-invariant fragment of MSO with paths relation, cannot be expressed in the jumping mu-calculus. Expressive completeness thus fails for this relation. These results crucially rely on our observation that the jumping mu-calculus has a tree automata counterpart: the jumping tree automata, hence the name of the jumping mu-calculus. We also prove that for observable winning conditions, the existence of winning strategies in games with imperfect information is expressible in the jumping mu-calculus. Finally, we derive from our main theorem that jumping automata cannot be projected, and ATL with imperfect information does not admit expansion laws.
转换系统中的相关路径
我们回顾了Janin和Walukiewicz关于模态mu-演算关于一元二阶逻辑(MSO)的表达完备性的经典结果,其中mu-演算精确地对应于在双模拟下不变的MSO片段。我们证明了在图中有限路径上添加二元关系可以改变这种情况。考虑一类一般情况,其中过渡系统的有限路径由固定的二元关系连接。这种设置产生了MSO和mu-calculus的自然扩展,我们称之为带路径关系的MSO和跳跃mu-calculus,我们的目的是比较它们的表达方式。我们首先证明了“有界内存”二元关系不会给两个逻辑中的任何一个带来额外的表达性,从而保持了表达的完备性。相反,我们证明了一个自然的,经典的“无限记忆”二元关系源于不完全信息的博弈,在这种博弈中,一个获胜策略的存在,虽然可以在具有路径关系的MSO的双模拟不变片段中表示,但不能在跳跃算子中表示。因此,这种关系的表达完备性就失效了。这些结果在很大程度上依赖于我们的观察,即跳跃模微积分有一个对应的树自动机:跳跃树自动机,因此称为跳跃模微积分。我们还证明了在可观测的获胜条件下,具有不完全信息的博弈中获胜策略的存在性可以用跳跃算子表示。最后,我们导出了跳跃自动机不能被投影的主要定理,以及具有不完全信息的ATL不允许扩展定律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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