Stability and perfection of Nash equilibria
Stability and perfection of Nash equilibria
Designing conventions for automated negotiation
AI Magazine
Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
ICCI '02 Proceedings of the 1st IEEE International Conference on Cognitive Informatics
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
A novel decision grid theory for dynamic decision making
ICCI '05 Proceedings of the Fourth IEEE International Conference on Cognitive Informatics
Software Engineering Foundations: A Software Science Perspective
Software Engineering Foundations: A Software Science Perspective
A layered reference model of the brain (LRMB)
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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Games are a complex mathematical structure for modeling dynamicdecision processes under competition where opponent players compete for themaximum gain or toward a success state in the same environment according tothe same rules of the game. Games are conventionally dealt with payoff tablesbased on random strategies, which are found inadequate to describe the dynamicbehaviors of games and to rigorously predict the outcomes of games.This paper presents an abstract game theory, which enables a formal treatmentof games by a set of mathematical models for both the layouts and behaviors ofgames. A generic mathematical model of abstract games is introduced, based onwhich the properties of games in terms of decision strategies and serial matchesare described. A wide range of generic zero-sum and nonzero-sum games areformally modeled and analyzed using the generic mathematical models of abstractgames.