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μ-Calculus via Games

机译:通过游戏进行微积分

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In this survey I would like to present some connections between the μ-calculus and games, more specifically games of possibly infinite duration played on labeled graphs. A fundamental connection was established by Emerson and Jutla and subsequently developed by several authors. Essentially, the result is that any formula of the μ-calculus expresses the existence of a strategy in a certain game. The idea of such a correspondence can be traced back to Buechi and McNaughton who observed a similar property of monadic second order arithmetic (see [10]). The contribution is mainly conceptual: infinite games (specifically, parity games) can help us to understand the μ-calculus formulas, and eventually design more efficient algorithms for related algorithmic problems as, e.g., model-checking. For a reader not well familiar with the μ-calculus, infinite games provide a good introductory example since they exhibit fixed points that are not necessarily least fixed points, and the μ-calculus arose from an observation that some properties can be expressed by fixed points, but not the least fixed points. Indeed, the expressive power of the μ-calculus results from the alternation of mutually dependent least and greatest fixed point operators. However the same feature makes the μ-calculus difficult to understand by a human. In fact, in contrast to first-order or temporal logic, the μ-calculus did not emerge by a formalization of the natural language.
机译:在本调查中,我想在标记的图表上展示μ微积和游戏之间的一些连接,更具体地是可能的无限持续时间的游戏。 Emerson和Jutla建立了基本联系,并随后由几位作者制定。基本上,结果是μ-微积分的任何公式表达了某种游戏中的策略存在。这种通信的想法可以追溯到Buechi和McNaughton,他们观察了Monadic二阶算法的类似性质(见[10])。贡献主要是概念:无限的游戏(特别是奇偶校验游戏)可以帮助我们理解μ-微积分,并且最终为相关算法问题设计更有效的算法,例如,例如模型检查。对于读者不太熟悉μ-微积分,无限的游戏提供了一个良好的入门例子,因为它们表现出不一定是最小固定点的固定点,并且μ-微积分从观察到某些特性可以通过固定点表示,但不是最不固定的点。实际上,μ-微积分的表现力来自相互依赖性最少和最大的固定点操作员的交替。然而,相同的特征使得μ-Chormulus难以理解。事实上,与一阶或时间逻辑形成对比,μ-微积分未通过自然语言的形式化出现。

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