id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_zzh2hcwt2jgj3fodyu3vqh6zje	Jacek Mańdziuk	Evolutionary-based heuristic generators for checkers and give-away checkers	2007	27	.pdf	application/pdf	11467	1214	72	In the other approach heuristic is developed step-bystep based on the set of training games. game tree depth) is used as the heuristic evaluation function in the alpha-beta search Keywords: game playing, heuristic generators, checkers, give-away checkers, evaluation suitable for testing new search algorithms, pattern-based evaluation methods or learning Although most examples of application of CI methods to game playing make use of either reinforcement learning method or neural networks, there are also some papers devoted from differences in numbers of pawns and kings, linear heuristics used in each of the stages In order to check the quality of heuristics generated for the game of GAC, they were alpha-beta, games played between any two heuristics were pairwise different. quality of the heuristics some comparison games were played. automate test games between our heuristics and Simple Checkers. The focus of this paper is to test usefulness of pure genetic approach for generating evaluation functions in two game domains: GAC and checkers.	./cache/work_zzh2hcwt2jgj3fodyu3vqh6zje.pdf	./txt/work_zzh2hcwt2jgj3fodyu3vqh6zje.txt