Low complexity and large interactions are possible in Strategy logic

Patrick Gardy
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Abstract

Strategy logic is an expressive multi-agent logic which extends ATL* (the multi-agent version of CTL*). It allows for powerful and interdependent branching (making it possible to express the existence of a dominant strategy, or a qualitative Nash equilibrium). However its model-checking is Non-Elementary. In their paper, Mogavero and al. conjectured that restricting the information strategies have of one another would bring the complexity back to 2-EXPTIME, the same as LTL or ATL* on games. This spurs a bunch of papers ranging over different semantics and fragments of Strategy Logic. As of this instant all papers supported the conjecture. However, so far a 2-EXPTIME model-checking is always obtained by restricting the interactions between the different goals (the interdependent branches in a formula); for example only using a single goal or a conjunction of goals. This severely limits the properties one can create, for example neither admissible strategies nor Nash equilibria can be expressed in these restrictions. In this paper, we prove that a 2-EXPTIME model-checking can be obtained for the fragment SL[BG] in the timeline semantic without restricting the interactions between the goals, greatly improving the expressiveness over other known fragments with 2-EXPTIME model-checking. This places SL[BG] in the timeline semantic as the largest extension of ATL* with similar complexity, yet capable of expressing global properties.
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在策略逻辑中,低复杂性和大交互性是可能的
策略逻辑是对ATL* (CTL*的多代理版本)的扩展,是一种富有表现力的多代理逻辑。它允许强大且相互依赖的分支(使其能够表达主导策略或定性纳什均衡的存在)。然而,它的模型检查是非基本的。在他们的论文中,Mogavero等人推测,限制彼此的信息策略将使复杂性回到2-EXPTIME,与游戏中的LTL或ATL*相同。这激发了一堆关于不同语义和策略逻辑片段的论文。就在这时,所有的报纸都支持这个猜想。然而,到目前为止,2-EXPTIME模型检查总是通过限制不同目标之间的交互(公式中相互依赖的分支)来获得;例如,只使用一个目标或多个目标。这严重限制了人们可以创造的属性,例如,可接受的策略和纳什均衡都不能在这些限制中表达。在本文中,我们证明了在不限制目标之间交互的情况下,可以在时间轴语义上对片段SL[BG]进行2-EXPTIME模型检查,大大提高了具有2-EXPTIME模型检查的其他已知片段的表达性。这使得SL[BG]在时间轴语义中成为ATL*的最大扩展,具有相似的复杂性,但能够表达全局属性。
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