%0 Journal Article %1 sipper:2007:SMC %A Sipper, Moshe %A Azaria, Yaniv %A Hauptman, Ami %A Shichel, Yehonatan %D 2007 %J IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews %K Backgammon, algorithms, chess, evolutionary evolving game genetic programming, robocode, strategies, strategising %N 4 %P 583--593 %R 10.1109/TSMCC.2007.897326 %T Designing an Evolutionary Strategizing Machine for Game Playing and Beyond %V 37 %X 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 paper 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 strategising machine.

@article{sipper:2007:SMC, 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 paper 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 strategising machine.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Sipper, Moshe and Azaria, Yaniv and Hauptman, Ami and Shichel, Yehonatan}, biburl = {https://www.bibsonomy.org/bibtex/28b584effb9b262cc5ef03580d0fefb20/brazovayeye}, doi = {10.1109/TSMCC.2007.897326}, interhash = {c26ffdedbb86e282623842a16fdff085}, intrahash = {8b584effb9b262cc5ef03580d0fefb20}, issn = {1094-6977}, journal = {IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews}, keywords = {Backgammon, algorithms, chess, evolutionary evolving game genetic programming, robocode, strategies, strategising}, month = {July}, number = 4, pages = {583--593}, timestamp = {2008-06-19T17:51:46.000+0200}, title = {Designing an Evolutionary Strategizing Machine for Game Playing and Beyond}, volume = 37, year = 2007 }