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Optimal strategic reasoning with McNaughton functions
Institution:1. Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodárenskou vě?í 4, 182 08 Prague, Czech Republic;2. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodárenskou vě?í 2, 182 07 Prague, Czech Republic
Abstract:The aim of the paper is to explore strategic reasoning in strategic games of two players with an uncountably infinite space of strategies the payoff of which is given by McNaughton functions—functions on the unit interval which are piecewise linear with integer coefficients. McNaughton functions are of a special interest for approximate reasoning as they correspond to formulas of infinitely valued Lukasiewicz logic. The paper is focused on existence and structure of Nash equilibria and algorithms for their computation. Although the existence of mixed strategy equilibria follows from a general theorem (Glicksberg, 1952) 5], nothing is known about their structure neither the theorem provides any method for computing them. The central problem of the article is to characterize the class of strategic games with McNaughton payoffs which have a finitely supported Nash equilibrium. We give a sufficient condition for finite equilibria and we propose an algorithm for recovering the corresponding equilibrium strategies. Our result easily generalizes to n-player strategic games which don't need to be strictly competitive with a payoff functions represented by piecewise linear functions with real coefficients. Our conjecture is that every game with McNaughton payoff allows for finitely supported equilibrium strategies, however we leave proving/disproving of this conjecture for future investigations.
Keywords:Lukasiewicz logic  McNaughton function  Infinite game  Nash equilibria
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