Complexity of mixed equilibria in Boolean games
Egor Ianovski

TL;DR
This paper explores the computational complexity of mixed-strategy equilibria in Boolean games, revealing that many related decision problems are highly complex, with some being NEXP-complete or coNEXP-complete.
Contribution
It provides the first complexity classifications for various equilibrium decision problems in Boolean games involving mixed strategies.
Findings
Determining the existence of an equilibrium with a given payoff constraint is NEXP-complete.
Deciding whether a profile is an equilibrium is coNP^#P-hard.
Deciding if a two-player zero-sum game exceeds a threshold is EXP-complete.
Abstract
Boolean games are a succinct representation of strategic games wherein a player seeks to satisfy a formula of propositional logic by selecting a truth assignment to a set of propositional variables under his control. The framework has proven popular within the multiagent community, however, almost invariably, the work to date has been restricted to the case of pure strategies. Such a focus is highly restrictive as the notion of randomised play is fundamental to the theory of strategic games -- even very simple games can fail to have pure-strategy equilibria, but every finite game has at least one equilibrium in mixed strategies. To address this, the present work focuses on the complexity of algorithmic problems dealing with mixed strategies in Boolean games. The main result is that the problem of determining whether a two-player game has an equilibrium satisfying a given payoff…
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Taxonomy
TopicsGame Theory and Applications · Game Theory and Voting Systems · Auction Theory and Applications
See pages 1-last of correctedthesis.pdf
