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An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four

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...

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Main Authors: Yaakob, Razali, Mahdin, Hairulnizam
Format: Conference or Workshop Item
Language:English
Published: 2007
Online Access:http://psasir.upm.edu.my/id/eprint/60121/1/RazaliUTHM.pdf
http://psasir.upm.edu.my/id/eprint/60121/
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spelling my.upm.eprints.601212018-04-12T04:37:15Z http://psasir.upm.edu.my/id/eprint/60121/ An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four Yaakob, Razali Mahdin, Hairulnizam 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. 2007 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60121/1/RazaliUTHM.pdf Yaakob, Razali and Mahdin, Hairulnizam (2007) An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four. In: 1st Regional Conference on Computational Science and Technologies (RCCST 2007), 29-30 Nov. 2007, Shangri-la Tanjung Aru Resort and Spa, Kota Kinabalu, Sabah. (pp. 97-101).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Conference or Workshop Item
author Yaakob, Razali
Mahdin, Hairulnizam
spellingShingle Yaakob, Razali
Mahdin, Hairulnizam
An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four
author_facet Yaakob, Razali
Mahdin, Hairulnizam
author_sort Yaakob, Razali
title An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four
title_short An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four
title_full An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four
title_fullStr An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four
title_full_unstemmed An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four
title_sort integration of individual and social learning in a co-evolutionary approach to the game of connect-four
publishDate 2007
url http://psasir.upm.edu.my/id/eprint/60121/1/RazaliUTHM.pdf
http://psasir.upm.edu.my/id/eprint/60121/
_version_ 1643837267804946432
score 13.211869

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