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Dynamics of Co-evolutionary Learningedited by: Pattie Maes, Maja J. Mataric, Jean A. Meyer, Jordan Pollack, Stewart W. WilsonIn Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior: From animals to animats 4 (September-JanuaryMarch 1996), pp. 526-534.
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AbstractCo-evolutionary learning, which involves the embedding of adaptive learning agents in a fitness environment which dynamically responds to their progress, is a potential solution for many technological chicken and egg problems, and is at the heart of several recent and surprising successes, such as Sim's artificial robot and Tesauro's backgammon player. We recently solved the two spirals problem, a difficult neural network benchmark classification problem, using the genetic programming...
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