The Role of Brain Chaos

  • Péter Andr#x00E1s
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2036)


A new interpretation of the brain chaos is proposed in this paper. The fundamental ideas are grounded in approximation theory. We show how the chaotic brain activity can lead to the emergence of highly precise behavior. To provide a simple example we use the Sierpinski triangles and we introduce the Sierpinski brain. We analyze the learning processes of brains working with chaotic neural objects. We discuss the general implications of the presented work, with special emphasis on messages for AI research.


Basis Function Chaotic Dynamic Chaotic Attractor Slow Learning Chaotic Dynamical System 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Péter Andr#x00E1s
    • 1
  1. 1.Department of PsychologyUniversity of Newcastle upon TyneNewcastle upon TyneUK

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