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Embedded-Particle Computation in Evolved Cellular Automata

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Author Info
Wim Hordijk
James P. Crutchfield
Melanie Mitchell
Abstract

In our work we are studying how genetic algorithms (GAs) can evolve cellular automata (CAs) to perform computations that require global coordination. The "evolving cellular automata" framework is an idealized means for studying how evolution (natural or computational) can create systems that perform emergent computation, in which the actions of simple computation, in which the actions of simple components with local information and communication give rise to coordinated global information processing.

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Publisher Info
Paper provided by Santa Fe Institute in its series Working Papers with number 96-09-073.

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Date of creation: Sep 1996
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Handle: RePEc:wop:safiwp:96-09-073

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Related research
Keywords: embedded-partical computation; evolved cellular automata;

Cited by:
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  1. Wim Hordijk, 1996. "The Structurte of the Synchronizing-CA Landscape," Working Papers 96-09-077, Santa Fe Institute.
  2. Wim Hordijk, 1997. "Correlation Analysis of the Synchronizing-CA Landscape," Working Papers 97-01-005, Santa Fe Institute.
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This page was last updated on 2009-12-16.


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