Attaining human-competitive game playing with genetic programming

M. Sipper

doi:10.1007/11861201_4

Attaining human-competitive game playing with genetic programming

M. Sipper

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strategies for three games: backgammon, chess endgames, and robocode (tank-fight simulation). Evolved game players are able to hold their own - and often win - against human or human-based competitors. This talk has a twofold objective: first, to review our recent results of applying genetic programming in the domain of games; second, to formulate the merits of genetic programming in acting as a tool for developing strategies in general, and to discuss the possible design of a strategizing machine.

Original language	English
Title of host publication	Cellular Automata - 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Proceedings
Publisher	Springer Verlag
Pages	13
Number of pages	1
ISBN (Print)	3540409297, 9783540409298
DOIs	https://doi.org/10.1007/11861201_4
State	Published - 1 Jan 2006
Event	7th International Conference on Cellular Automata for Research and Industry, ACRI 2006 - Perpignan, France Duration: 20 Sep 2006 → 23 Sep 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4173 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Cellular Automata for Research and Industry, ACRI 2006
Country/Territory	France
City	Perpignan
Period	20/09/06 → 23/09/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/11861201_4

Cite this

Sipper, M. (2006). Attaining human-competitive game playing with genetic programming. In Cellular Automata - 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Proceedings (pp. 13). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4173 LNCS). Springer Verlag. https://doi.org/10.1007/11861201_4

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Sipper, M 2006, Attaining human-competitive game playing with genetic programming. in Cellular Automata - 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4173 LNCS, Springer Verlag, pp. 13, 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Perpignan, France, 20/09/06. https://doi.org/10.1007/11861201_4

Attaining human-competitive game playing with genetic programming. / Sipper, M.
Cellular Automata - 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Proceedings. Springer Verlag, 2006. p. 13 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4173 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We have recently shown that genetically programming game players, after having imbued the evolutionary process with human intelligence, produces human-competitive strategies for three games: backgammon, chess endgames, and robocode (tank-fight simulation). Evolved game players are able to hold their own - and often win - against human or human-based competitors. This talk has a twofold objective: first, to review our recent results of applying genetic programming in the domain of games; second, to formulate the merits of genetic programming in acting as a tool for developing strategies in general, and to discuss the possible design of a strategizing machine.

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Sipper M. Attaining human-competitive game playing with genetic programming. In Cellular Automata - 7th International Conference on Cellular Automata for Research and Industry, ACRI 2006, Proceedings. Springer Verlag. 2006. p. 13. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11861201_4

Attaining human-competitive game playing with genetic programming

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