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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Online Access: | http://psasir.upm.edu.my/id/eprint/60121/1/RazaliUTHM.pdf |
| _version_ | 1796977238770450432 |
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| author | Yaakob, Razali Mahdin, Hairulnizam |
| author_facet | Yaakob, Razali Mahdin, Hairulnizam |
| author_sort | Yaakob, Razali |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T09:37:15Z |
| format | Conference or Workshop Item |
| id | upm.eprints-60121 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:37:15Z |
| publishDate | 2007 |
| record_format | dspace |
| spelling | 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). |
| spellingShingle | Yaakob, Razali Mahdin, Hairulnizam An integration of individual and social learning in a co-evolutionary approach to the game of Connect-Four |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/60121/1/RazaliUTHM.pdf |
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