Dynamics of Co-evolutionary Learning
Created by W.Langdon from
gp-bibliography.bib Revision:1.8178
- @InProceedings{juile:1996:dcl,
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author = "Hugues Juille and Jordan B. Pollack",
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title = "Dynamics of Co-evolutionary Learning",
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booktitle = "Proceedings of the Fourth International Conference on
Simulation of Adaptive Behavior: From animals to
animats 4",
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year = "1996",
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editor = "Pattie Maes and Maja J. Mataric and
Jean-Arcady Meyer and Jordan Pollack and Stewart W. Wilson",
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pages = "526--534",
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address = "Cape Code, USA",
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publisher_address = "Cambridge, MA, USA",
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month = "9-13 " # sep,
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publisher = "MIT Press",
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keywords = "genetic algorithms, genetic programming, Spirals,
Coevolution",
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ISBN = "0-262-63178-4",
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URL = "http://www.demo.cs.brandeis.edu/papers/sab96b.pdf",
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URL = "http://www.demo.cs.brandeis.edu/papers/sab96b.ps.gz",
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URL = "http://www.demo.cs.brandeis.edu/papers/sab96b.ps",
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URL = "http://www.cs.brandeis.edu/~hugues/papers/SAB_96.ps.gz",
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URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6291901",
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size = "9 pages",
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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 primitives set up by [ \cite{koza:book} ].
Instead of using absolute fitness, we use a relative
fitness [ \cite{icga93:angeline} ] based on a
competition for coverage of the data set. As the
population reproduces, the fitness function driving the
selection changes, and subproblem niches are opened,
rather than crowded out. The solutions found by our
method have a symbiotic structure which suggests that
by holding niches open.",
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notes = "SAB-96",
- }
Genetic Programming entries for
Hugues Juille
Jordan B Pollack
Citations