Co-evolution, Determinism and Robustness
Robustness has long been recognised as a critical issue for co-evolutionary learning. It has been achieved in a number of cases, though usually in domains which involve some form of non-determinism. We examine a deterministic domain — a pseudo real-time two-player game called Tron - and evolve a neu...
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Format: | Buchkapitel |
Sprache: | eng |
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Zusammenfassung: | Robustness has long been recognised as a critical issue for co-evolutionary learning. It has been achieved in a number of cases, though usually in domains which involve some form of non-determinism. We examine a deterministic domain — a pseudo real-time two-player game called Tron - and evolve a neural network player using a simple hill-climbing algorithm. The results call into question the importance of determinism as a requirement for successful co-evolutionary learning, and provide a good opportunity to examine the relative importance of other factors. |
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ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/3-540-48873-1_50 |