语义模可满足性及其应用:函数表示、概率和博弈论

Sandro Preto
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引用次数: 0

摘要

摘要在命题逻辑中,我们应用语义模可满足性——一种只理解满足某一特定公式集的值的有限语义——来有效地解决一些计算任务。开发了三种可能的此类应用。我们首先通过语义模可满足性研究Łukasiewicz无穷值逻辑中隐式表示有理McNaughton函数的可能性。我们从理论上研究了这种表示概念的一些方法,称为表示模可满足性,并描述了在新引入的系统中构建表示的多项式算法。给出了该算法的实现、测试结果和随机生成有理McNaughton函数的方法。此外,我们提出了利用Łukasiewicz无限值逻辑的推理框架将这种表示应用于神经网络性质的形式化验证。然后,我们研究了Łukasiewicz无限值逻辑公式的联合概率分配的可满足性,这是一个已知的np完全问题。将线性代数方法与语义模可满足性相结合,给出了一种精确的决策算法。此外,我们还提供了一种经验检测相变现象的算法实现。最后,我们研究了可观察博弈的博弈论情境,即已知达到纳什均衡的博弈,然而,外部观察者并不知道在特定情况下发生的行动的确切概况;因此,这样的观察者将主观概率分配给玩家的行动。我们研究了判定一组概率约束是否相干的决策问题,将其转化为经典命题逻辑和Łukasiewicz无限值逻辑中依赖于是否只允许纯均衡或也允许混合均衡的逻辑公式的概率分配的可满足性问题。这种约简依赖于语义模可满足性的性质。我们提供了一致性问题的复杂性和算法讨论,以及计算保持一致性的行动的最大和最小概率约束的问题。摘要由Sandro Márcio da Silva Preto制备。电子邮件:spreto@ime.usp.br URL: https://doi.org/10.11606/T.45.2021.tde-17062021-163257
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semantics modulo satisfiability with applications: function representation, probabilities and game theory
Abstract In the context of propositional logics, we apply semantics modulo satisfiability—a restricted semantics which comprehends only valuations that satisfy some specific set of formulas—with the aim to efficiently solve some computational tasks. Three possible such applications are developed. We begin by studying the possibility of implicitly representing rational McNaughton functions in Łukasiewicz Infinitely-valued Logic through semantics modulo satisfiability. We theoretically investigate some approaches to such representation concept, called representation modulo satisfiability, and describe a polynomial algorithm that builds representations in the newly introduced system. An implementation of the algorithm, test results and ways to randomly generate rational McNaughton functions for testing are presented. Moreover, we propose an application of such representations to the formal verification of properties of neural networks by means of the reasoning framework of Łukasiewicz Infinitely-valued Logic. Then, we move to the investigation of the satisfiability of joint probabilistic assignments to formulas of Łukasiewicz Infinitely-valued Logic, which is known to be an NP-complete problem. We provide an exact decision algorithm derived from the combination of linear algebraic methods with semantics modulo satisfiability. Also, we provide an implementation for such algorithm for which the phenomenon of phase transition is empirically detected. Lastly, we study the game theory situation of observable games, which are games that are known to reach a Nash equilibrium, however, an external observer does not know what is the exact profile of actions that occur in a specific instance; thus, such observer assigns subjective probabilities to players actions. We study the decision problem of determining if a set of these probabilistic constraints is coherent by reducing it to the problems of satisfiability of probabilistic assignments to logical formulas both in Classical Propositional Logic and Łukasiewicz Infinitely-valued Logic depending on whether only pure equilibria or also mixed equilibria are allowed. Such reductions rely upon the properties of semantics modulo satisfiability. We provide complexity and algorithmic discussion for the coherence problem and, also, for the problem of computing maximal and minimal probabilistic constraints on actions that preserves coherence. Abstract prepared by Sandro Márcio da Silva Preto. E-mail: spreto@ime.usp.br URL: https://doi.org/10.11606/T.45.2021.tde-17062021-163257
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