@inproceedings{bfc5bdab297b4b1cb21e63e2ed9b13c8,
title = "Evolving players that use selective game-tree search with genetic programming",
abstract = "We present the application of genetic programming (GP) to evolving game-tree search in board games. Our work expands previous results in evolving board-state evaluation functions for multiple board games, now evolving a search-guiding evaluation function alongside it. Our system implements strongly typed GP trees, explicitly defined introns, and a selective directional crossover method. Copyright is held by the author/owner(s).",
keywords = "Alpha-beta search, Board games, Games, Genetic programming",
author = "Amit Benbassat and Moshe Sipper",
year = "2012",
month = jan,
day = "1",
doi = "10.1145/2330784.2330894",
language = "English",
isbn = "9781450311786",
series = "GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion",
publisher = "Association for Computing Machinery",
pages = "631--632",
booktitle = "GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion",
note = "14th International Conference on Genetic and Evolutionary Computation Companion, GECCO 2012 Companion ; Conference date: 07-07-2012 Through 11-07-2012",
}