A basis for deductive database systems. II
Journal of Logic Programming
Towards a theory of declarative knowledge
Foundations of deductive databases and logic programming
Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Extending Classical Planning to the Multi-agent Case: A Game-Theoretic Approach
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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
OBDD-based universal planning for synchronized agents in non-deterministic domains
Journal of Artificial Intelligence Research
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Automated verification of state sequence invariants in general game playing
Artificial Intelligence
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The Game Description Language is a high-level, rule-based formalisms for communicating the rules of arbitrary games to general game-playing systems, whose challenging task is to learn to play previously unknown games without human intervention. Originally designed for deterministic games with complete information about the game state, the language was recently extended to include randomness and imperfect information. However, determining the extent to which this enhancement allows to describe truly arbitrary games was left as an open problem. We provide a positive answer to this question by relating the extended Game Description Language to the universal, mathematical concept of extensive-form games, proving that indeed just any such game can be described faithfully.