Abstract
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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© 1999 Springer-Verlag Berlin Heidelberg
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Blair, A.D., Sklar, E., Funes, P. (1999). Co-evolution, Determinism and Robustness. In: McKay, B., Yao, X., Newton, C.S., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1998. Lecture Notes in Computer Science(), vol 1585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48873-1_50
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DOI: https://doi.org/10.1007/3-540-48873-1_50
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