ACM Home Page
Please provide us with feedback. Feedback
Visualising random boolean network dynamics
Full text PdfPdf (370 KB)
Source
Genetic And Evolutionary Computation Conference archive
Proceedings of the 11th Annual conference on Genetic and evolutionary computation table of contents
Montreal, Québec, Canada
POSTER SESSION: Track 2: artificial life, evolutionary robotics, adaptive behavior, and evolvable hardware table of contents
Pages 1781-1782  
Year of Publication: 2009
ISBN:978-1-60558-325-9
Author
Susan Stepney  University of York, York, United Kingdom
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 9,   Downloads (12 Months): 29,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1569901.1570157
What is a DOI?

ABSTRACT

We propose a simple approach to visualising the time behaviour of Random Boolean Networks (RBNs), and demonstrate the approach by examining the effect of canalising functions for K > 2 networks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
B. Drossel. Random boolean networks. In H. G. Schuster, editor, Reviews of Nonlinear Dynamics and Complexity, volume 1. Wiley, 2008. arXiv:0706.3351v2.
 
2
C. Gershenson. Introduction to random boolean networks. In Workshop and Tutorial Proceedings, ALife IX, pages 160--173, 2004.
 
3
 
4
S. A. Kauffman. The Origins of Order. OUP, 1993.
 
5
A. Wuensche. Genomic regulation modeled as a network with basins of attraction. Pacific Symposium on Biocomput., pages 89--102, 1998.