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Modeling billiards games
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 table of contents
Budapest, Hungary
SESSION: Economic approaches/auctions/mechanism design table of contents
Pages 193-199  
Year of Publication: 2009
ISBN:978-0-9817381-6-1
Authors
Christopher Archibald  Stanford University
Yoav Shoham  Stanford University
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Wiley - Blackwell Ltd
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
Publisher
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 32,   Citation Count: 0
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ABSTRACT

Two-player games of billiards, of the sort seen in recent Computer Olympiads held by the International Computer Games Association, are an emerging area with unique challenges for A.I. research. Complementing the heuristic/algorithmic aspect of billiards, of the sort brought to the fore in the ICGA billiards tournaments, we investigate formal models of such games. The modeling is surprisingly subtle. While sharing features with existing models (including stochastic games, games on a square, recursive games, and extensive form games), our model is distinct, and consequently requires novel analysis. We focus on the basic question of whether the game has an equilibrium. For finite versions of the game it is not hard to show the existence of a pure strategy Markov perfect Nash equilibrium. In the infinite case, it can be shown that under certain conditions a stationary pure strategy Markov perfect Nash equilibrium is guaranteed to exist.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Christopher Archibald: colleagues
Yoav Shoham: colleagues