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Multi-player games with LDL goals over finite traces
Information and Computation ( IF 1 ) Pub Date : 2020-03-26 , DOI: 10.1016/j.ic.2020.104555
Julian Gutierrez , Giuseppe Perelli , Michael Wooldridge

Linear Dynamic Logic on finite traces (LDLF) is a powerful logic for reasoning about the behaviour of concurrent and multi-agent systems. In this paper, we investigate techniques for both the characterisation and verification of equilibria in multi-player games with goals/objectives expressed using logics based on LDLF. This study builds upon a generalisation of Boolean games, a logic-based game model of multi-agent systems where players have goals succinctly represented in a logical way. Because LDLF goals are considered, in the settings we study—Reactive Modules games and iterated Boolean games with goals over finite traces—players' goals can be defined to be regular properties while achieved in a finite, but arbitrarily large, trace. In particular, using alternating automata, the paper investigates automata-theoretic approaches to the characterisation and verification of (pure strategy Nash) equilibria, shows that the set of Nash equilibria in multi-player games with LDLF objectives is regular, and provides complexity results for the associated automata constructions.



中文翻译:

LDL目标超过有限轨迹的多人游戏

有限迹线上的线性动态逻辑低密度脂蛋白F是用于推理并发和多代理系统行为的强大逻辑。在本文中,我们研究了使用基于逻辑的目标/目的表达的多人游戏中表征验证均衡性的技术低密度脂蛋白F。这项研究基于布尔游戏的泛化,布尔游戏是一种多智能体系统的基于逻辑的游戏模型,其中玩家具有以逻辑方式简洁地表示目标的目标。因为低密度脂蛋白F在我们研究的设置中考虑目标(即反应性模块游戏和具有超过有限轨迹的目标的迭代布尔型游戏),可以将玩家的目标定义为常规属性,同时以有限但任意大的轨迹实现。特别是,使用交替自动机,研究了自动机理论方法来表征和验证(纯策略纳什)均衡,证明多玩家游戏中的纳什均衡集具有低密度脂蛋白F 目标是有规律的,并为关联的自动机构造提供了复杂的结果。

更新日期:2020-03-26
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