An evolutionary tic-tac-toe player
by Belal Al-Khateeb
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 4, No. 4, 2012

Abstract: In this paper, artificial neural networks are used as function evaluators in order to evolve game playing strategies for the game of tic-tac-toe. The best evolved player is tested against an online perfect tic-tac-toe player, and also against a nearly perfect player which allows 10% random moves and finally against five selected human players. Those players are with different playing abilities. The results are promising, suggesting many other research directions.

Online publication date: Sun, 27-Jan-2013

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