Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Reasoning about knowledge
Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Online computation and competitive analysis
Online computation and competitive analysis
An axiomatic treatment of three qualitative decision criteria
Journal of the ACM (JACM)
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Electronic commerce: from economic and game-theoretic models to working protocols
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
R-MAX: a general polynomial time algorithm for near-optimal reinforcement learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
A multi-agent system for e-barter including transaction and shipping costs
Proceedings of the 2003 ACM symposium on Applied computing
Formal specification of multi-agent e-barter systems
Science of Computer Programming
Application of game theory to neuronal networks
Advances in Artificial Intelligence - Special issue on artificial intelligence in neuroscience and systems biology: lessons learnt, open problems, and the road ahead
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Preferences in AI: An overview
Artificial Intelligence
Differential evolution as a new method of computing nash equilibria
Transactions on Computational Collective Intelligence IX
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Game Theory and Artificial Intelligence are two mature areas of research, originating from similar roots, which have taken different research directions in the last 50 years. Recent research however shows that the connections between these areas are deep, and that the time had come for bridging the gap between these research disciplines. In this paper we concentrate on basic issues in representation, reasoning, and learning, and discuss work that lies in the intersection of Artificial Intelligence and Game Theory, for each of these subjects.