Evolving board-game players with genetic programming

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

@InProceedings{Benbassat:2011:GECCOcomp,

• author = "Amit Benbassat and Moshe Sipper",
• title = "Evolving board-game players with genetic programming",
• booktitle = "GECCO 2011 Graduate students workshop",
• year = "2011",
• editor = "Miguel Nicolau",
• isbn13 = "978-1-4503-0690-4",
• keywords = "genetic algorithms, genetic programming",
• pages = "739--742",
• month = "12-16 " # jul,
• organisation = "SIGEVO",
• address = "Dublin, Ireland",
• DOI = "doi:10.1145/2001858.2002080",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• abstract = "We present the application of genetic programming (GP) to zero-sum, deterministic, full-knowledge board games. Our work expands previous results in evolving board-state evaluation functions for Lose Checkers to a 10x10 variant of Checkers, as well as Reversi. Our system implements strongly typed GP trees, explicitly defined introns, and a selective directional crossover method.",
• notes = "Also known as \cite{2002080} Distributed on CD-ROM at GECCO-2011.

  ACM Order Number 910112.",

}

Genetic Programming entries for Amit Benbassat Moshe Sipper

Citations