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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 Computer Science and Information Technology > Department of Software Engineering
Depositing User: Faizul Sahari
Date Deposited: 05 Oct 2011 04:02
Last Modified: 05 Oct 2011 04:02
URI: http://eprints.uthm.edu.my/id/eprint/2011
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