@inproceedings{2bc3de0005be42a697a1b90d5a87ef42,
title = "Evolving board-game players with genetic programming",
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.",
keywords = "alpha-beta search, board games, games, genetic programming",
author = "Amit Benbassat and Moshe Sipper",
year = "2011",
month = aug,
day = "26",
doi = "10.1145/2001858.2002080",
language = "English",
isbn = "9781450306904",
series = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",
pages = "739--742",
booktitle = "Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication",
note = "13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 ; Conference date: 12-07-2011 Through 16-07-2011",
}