概率mu-微积分的博弈等价性和指称语义

M. Mio
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引用次数: 16

摘要

概率(或定量)模态模微积分是为表示概率标记转移系统的性质而设计的一种不动点逻辑。该逻辑研究了两种语义,它们在区间[0,1]中为每个进程状态分配一个值,表示公式表示的属性在该状态下保持的概率。一种语义是表意的,另一种是游戏语义,用两个人随机博弈的方式来指定。这两种语义在所有有限PLTS上都被证明是重合的,但在任意模型上的等价性在文献中是开放的。在本文中,我们证明了对任意无限模型的等价性,从而加强了指称语义和博弈语义之间卓有成效的联系。我们的证明采用了一种通过对奇偶对策的复杂度进行归纳法来证明其结果的一般证明技术——展开法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Equivalence of Game and Denotational Semantics for the Probabilistic mu-Calculus
The probabilistic (or quantitative) modal mu-calculus is a fixed-point logic de- signed for expressing properties of probabilistic labeled transition systems (PLTS). Two semantics have been studied for this logic, both assigning to every process state a value in the interval [0,1] representing the probability that the property expressed by the formula holds at the state. One semantics is denotational and the other is a game semantics, specified in terms of two-player stochastic games. The two semantics have been proved to coincide on all finite PLTS's, but the equivalence of the two semantics on arbitrary models has been open in literature. In this paper we prove that the equivalence indeed holds for arbitrary infinite models, and thus our result strengthens the fruitful connection between denotational and game semantics. Our proof adapts the unraveling or unfolding method, a general proof technique for proving result of parity games by induction on their complexity.
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