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Using Neural Networks and Genetic Algorithms as Building Blocks for Artificial Life Simulations

  • Gerd Beuster
Conference paper

Abstract

Artificial neural networks and genetic algorithms are used very often in artificial life simulations. In this paper we describe Artificial Life Environment (ALE). ALE uses neural networks and genetic algorithms, among other parts, as building blocks to set up artificial life simulations.

Keywords

Neural Network Genetic Algorithm Building Block Cellular Automaton Artificial Life 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    Gerd Beuster, Artificial Life Environment, Master’s thesis, University Koblenz-Landau, Koblenz, 1999, http://www.unikoblenz. de/gb/ale/studienarbeit_ale.ps.gzGoogle Scholar
  2. [2]
    A. K. Dewdney, Simulated evolution: wherein bugs learn to hunt bacteria, Scientific American, May 1989.Google Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Gerd Beuster
    • 1
  1. 1.AI Research GroupUniversity Koblenz-LandauGermany

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