Attaining Human-Competitive Game Playing with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/acri/Sipper06,

• title = "Attaining Human-Competitive Game Playing with Genetic Programming",
• author = "Moshe Sipper",
• booktitle = "Proceedings of the 7th International Conference on Cellular Automata, for Research and Industry, {ACRI}",
• publisher = "Springer",
• year = "2006",
• volume = "4173",
• editor = "Samira {El Yacoubi} and Bastien Chopard and Stefania Bandini",
• ISBN = "3-540-40929-7",
• series = "Lecture Notes in Computer Science",
• pages = "13",
• address = "Perpignan, France",
• month = sep # " 20-23",
• note = "Invited Lectures",
• bibdate = "2006-12-04",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/acri/acri2006.html#Sipper06",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1007/11861201_4",
• size = "9 lines",
• 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.",

}

Genetic Programming entries for Moshe Sipper

Citations