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| About site: Artificial Life/Cellular Automata - Evolving Cellular Automata Group, Santa Fe Institut |
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| About site: http://www.santafe.edu/~evca/ |
Title: Artificial Life/Cellular Automata - Evolving Cellular Automata Group, Santa Fe Institut Development and research of evolving cellular automata with genetic algorithms, computational mechanics, population dynamics and coevolution.
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Evolving Cellular Automata Group - The Santa Fe Institute
J. Crutchfield
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Computational Mechanics
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Dynamics of Learning
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Evolving Cellular Automata
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Evolutionary Dynamics
Home
People
Papers
Funding
Welcome to the Evolving Cellular Automata
(EvCA) Group Home Page
The EvCA group is based at the Santa Fe
Insitute (SFI)
and at the Los Alamos National
Laboratory (LANL) at the Biophysics Group.
The overall research done by the EvCA group is primarily motivated by the
question: "How does evolution produce sophisticated emergent computation in
systems composed of simple components limited to local interactions?" To try
to find answers to this question, genetic algorithms are used to evolve cellular
automata to perform computational tasks that require global information processing.
In studying the results of these computer simulations, many more, related questions
have sprung up, ranging from questions about the relation between pattern formation
and information processing to questions about population dynamics and coevolution.
Follow the links in the list below to find out more about these research projects,
and how they relate to each other.
Evolving cellular automata with genetic
algorithms
Population dynamics
Coevolution
Santa Fe Institute
1399 Hyde Park Road
Santa Fe, NM 87501
Phone: (505) 984-8800
Fax: (505) 982-0565
Los Alamos National Laboratory
Biophysics, P-21
Mail Stop D454
Los Alamos, NM 87545
Phone: (505) 665-2545
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Development | and | research | of | evolving | cellular | automata | with | genetic | algorithms, | computational | mechanics, | population | dynamics | and | coevolution. |
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http://www.santafe.edu/~evca/
Evolving Cellular Automata Group, Santa Fe Institut 2008 September
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Development and research of evolving cellular automata with genetic algorithms, computational mechanics, population dynamics and coevolution.
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