K. Chellapilla and D. B. Fogel, “Evolving an Expert Checkers Playing Program without Using Human Expertise,” IEEE Transactions on Evolutionary Com-putation, Vol. 5, No. 4, 2001, pp. 422-428. doi:10.1109/4235.94 2536

has been cited by the following article:

• TITLE: Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions

  AUTHORS: Sai Ho Ling, Hak Keung Lam

  KEYWORDS: Game, Genetic Algorithm, Neural Network

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.3 No.1, February 24, 2011

  ABSTRACT: Computational intelligence is a powerful tool for game development. In this paper, an algorithm of playing the game Tic-Tac-Toe with computational intelligence is developed. This algorithm is learned by a Neural Network with Double Transfer functions (NNDTF), which is trained by genetic algorithm (GA). In the NNDTF, the neuron has two transfer functions and exhibits a node-to-node relationship in the hidden layer that enhances the learning ability of the net-work. A Tic-Tac-Toe game is used to show that the NNDTF provide a better performance than the traditional neural network does.