Choice Logic Programs and Nash Equilibria in Strategic Games
CSL '99 Proceedings of the 13th International Workshop and 8th Annual Conference of the EACSL on Computer Science Logic
Compact preference representation and Boolean games
Autonomous Agents and Multi-Agent Systems
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Compact preference representation for boolean games
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Forgetting in logic programs with ordered disjunction
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
A logical characterisation of ordered disjunction
AI Communications - Answer Set Programming
Aggregates in answer set optimization
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Preferences in answer set programming
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Possibilistic semantics for logic programs with ordered disjunction
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Fuzzy Equilibrium Logic: Declarative Problem Solving in Continuous Domains
ACM Transactions on Computational Logic (TOCL)
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Logic programs with ordered disjunctions (LPODs) are natural vehicles for expressing choices that have a preference ordering. They are extensions of the familiar extended logic programs that have answer sets as semantics. In game theory, players usually prefer strategies that yield higher payoffs. Since strategies are choices, LPODs would seem to be a suitable logical formalism for expressing some game-theoretic properties. This paper shows how pure strategy normal form games can be encoded as LPODs in such a way that the answer sets that are mutually most preferred by all players are exactly the Nash equilibria. A similar result has been obtained by researchers using a different, but related, logical formalism, viz., ordered choice logic programs that were used to encode extensive games.