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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)
Context of citations to this paper: More
...artificial systems are rare. One such mechanism is the competitive arms race of co evolutionary systems (see, for example, (Juille Pollack 1996)) The basic idea of the competitive arms race is that two populations are pitted against one another, and gradually one up...
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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" }
Citations (may not include all citations):1053 Genetic Programming: On the Programming of Computers by Mean.. (context) - Koza - 1992
372 The cascade-correlation learning architecture - Fahlman, Lebiere - 1990
219 Practical issues in temporal difference learning - Tesauro - 1992
209 Genetic algorithms with sharing for multimodal function opti.. (context) - Goldberg, Richardson - 1987
205 Co-evolving parasites improve simulated evolution as an opti.. (context) - Hillis - 1992
149 An approach to the synthesis of life (context) - Ray - 1992
116 Fuzzy artmap: A neural network architecture for incremental .. (context) - Carpenter, Grossberg et al. - 1992
86 Evolutionary phenomena in simple dynamics (context) - Lindgren - 1992
82 Competitive environments evolve better solutions for complex.. - Angeline, Pollack - 1993
76 Learning to tell two spirals apart (context) - Lang, Witbrock - 1988
66 Evolving 3d morphology and behavior by competition (context) - Sims - 1994
41 Methods for competitive co-evolution: Finding opponents wort.. - Rosin, Belew - 1995
35 Discovery of subroutines in genetic programming - Rosca, Ballard - 1996
32 Coevolution of a backgammon player - Pollack, Blair et al. - 1996
23 Stack-based genetic programming - Perkis - 1994
19 Massively parallel genetic programming - Juill'e, Pollack - 1996
13 Two selfadaptive crossover operations for genetic programmin.. - Angeline - 1995
12 and the game of tag (context) - Reynolds - 1994
1 Protean behavior in dynamic games (context) - Miller, Cliff - 1994
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