(Enter summary)
Abstract: Co-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... (Update)
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BibTeX entry: (Update)
H. Juille and J. B. Pollack, "Dynamics of co-evolutionary learning," in From Animals to Animats 4. Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior (P. Maes, M. J. Mataric, J.-A. Meyer, J. B. Pollack, and S. W. Wilson, eds.), pp. 526--534, The MIT Press/Bradford Books, Cambridge, MA, 1996. http://citeseer.ist.psu.edu/juille96dynamics.html More
@inproceedings{ juille96dynamics,
author = "Hugues Juille and Jordan B. Pollack",
title = "Dynamics of Co-evolutionary Learning",
booktitle = "Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior: From animals to animats 4",
month = "9-13",
publisher = "MIT Press",
address = "Cape Code, USA",
editor = "Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack and Stewart W. Wilson",
isbn = "0-262-63178-4",
pages = "526--534",
year = "1996",
url = "citeseer.ist.psu.edu/juille96dynamics.html" }
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