An integrated of individual and social learning in a co-evolutionary approach to the game of connect-four

Yaakob, Razali and Mahdin, Hairulnizam (2007) An integrated of individual and social learning in a co-evolutionary approach to the game of connect-four. In: First Regional Conference On Computational Science and Technologies, 29 - 30 Nov 2007, Universiti Malaysia Sabah.

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Abstract

In this paper, we investigate an integration of individual and social learning, utilising co-evolutionary neural networks. Individual learning takes place by playing copies of a player against itself. Social learning allows poor performing players to learn from those players, which are playing at a higher level. The networks are evolved via evolutionary strategies with the network output being used as input to a minimax search tree. Our experiments show that learning is taking place at the 99% confidence level. In terms of performance, the co-evolutionary neural network player has the ability to block two adjacent stones of an opponent.

Item Type:Conference or Workshop Item (Paper)
Subjects:L Education > LC Special aspects of education > LC0065 Social aspects of education
Divisions:Faculty of Science Computer and Information Technology > Department of Software Engineering
ID Code:2011
Deposited By:Faizul Sahari
Deposited On:05 Oct 2011 12:02
Last Modified:05 Oct 2011 12:02

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