Carl Troein
Forskare
Superpolynomial growth in the number of attractors in Kauffman networks (conference report)
Författare
Summary, in English
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. This work is based on an earlier paper where we introduced a novel approach to analyzing attractors in random Boolean networks. Applying this approach to Kauffman networks, we prove that the average number of attractors grows faster than any power law with system size.
Avdelning/ar
- Beräkningsbiologi och biologisk fysik - Genomgår omorganisation
- Funktionell zoologi
Publiceringsår
2003
Språk
Engelska
Sidor
5051-5061
Publikation/Tidskrift/Serie
Acta Physica Polonica B
Volym
34
Issue
10
Dokumenttyp
Artikel i tidskrift
Förlag
Jagellonian University, Cracow, Poland
Ämne
- Zoology
- Biophysics
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1509-5770