Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Automatic feature extraction for autonomous general game playing agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Propositional Automata and Cell Automata: Representational Frameworks for Discrete Dynamic Systems
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Automatic heuristic construction in a complete general game player
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Answer Set Programming for Single-Player Games in General Game Playing
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Neural Networks for State Evaluation in General Game Playing
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Heuristic evaluation functions for general game playing
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Fluxplayer: a successful general game player
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
General game learning using knowledge transfer
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automated theorem proving for general game playing
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Decomposition of Multi-player Games
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
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Introduced in 2005 as a new AI Challenge and Competition, general game playing has quickly evolved into an established research area. More recently it is also gaining popularity as a useful addition to AI curricula at universities around the world. The first part of this paper will survey the research landscape of general game playing, which covers a broad range of classic AI topics, including knowledge representation, search, planning and learning. The second part will argue that general game playing provides a unique approach to teaching a number of different topics such as problem solving by search, logic, logic programming and planning. The inherent competitive aspect also can be used as a great motivator for students to design and implement their own AI systems.