Cellular automata and discrete neural networks constitute very simple and general models that seem to capture the fundamental features of a variety of highly complex systems. Their study offers the possibility of obtaining some understanding of the most important and characteristic properties of complex and self-organizing systems, the evolution of which currently appears chaotic, disorganized and beyond the scope of known laws of nature.


Entropy Conglomerate Incompressibility Wolfram Rovan 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Max Garzon
    • 1
  1. 1.Department of Mathematical SciencesThe University of MemphisMemphisUSA

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