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Superpolynomial growth in the number of attractors in Kauffman networks

Författare:
Publiceringsår: 2003
Språk: Engelska
Sidor:
Publikation/Tidskrift/Serie: Physical Review Letters
Volym: 90
Nummer: 9
Dokumenttyp: Artikel

Sammanfattning

The Kauffman model describes a particularly simple class of random Boolean networks. Despite the simplicity of the model, it exhibits complex behavior and has been suggested as a model for real world network problems. We introduce a novel approach to analyzing attractors in random Boolean networks, and applying it to Kauffman networks we prove that the average number of attractors grows faster than any power law with system size.

Disputation

Nyckelord

  • Physics and Astronomy
  • Mathematics and Statistics

Övriga

Published
Yes
  • ISSN: 0031-9007
  • ISSN: 1092-0145
  • ISSN: 1079-7114

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