A Computational Model Based on Random Boolean Networks
2007 (English)In: 2007 2ND BIO-INSPIRED MODELS OF NETWORKS, INFORMATION AND COMPUTING SYSTEMS (BIONETICS), NEW YORK: IEEE , 2007, 24-31 p.Conference paper (Refereed)
For decades, the size of silicon CMOS transistors has decreased steadily while their performance has improved. As the devices approach their physical limits, the need for alternative materials, structures and computation schemes becomes evident. This paper considers a computation scheme based on an abstract model of gene regulatory networks called Random Boolean Networks. Our interest in Random Boolean Networks is due to their attractive fault-tolerant features. The parameters of a network can be tuned so that it exhibits a robust behavior in which minimal changes in network's connections, values of state variables, or associated functions, typically cause no variation in the network's dynamics. A computation scheme based on random networks also seems to be appealing for emerging technologies in which it is difficult to control the growth direction or precise alignment, e.g. carbon nanotubes.
Place, publisher, year, edition, pages
NEW YORK: IEEE , 2007. 24-31 p.
Random Boolean Network, attractor, Boolean function, fault-tolerance, carbon nanotubes
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-30745DOI: 10.1109/BIMNICS.2007.4610075ISI: 000268585800004ScopusID: 2-s2.0-53149093263ISBN: 978-1-4244-3649-1OAI: oai:DiVA.org:kth-30745DiVA: diva2:401921
2nd International Conference on Bio-Inspired Models of Network, Information and Computing Systems, Budapest, HUNGARY, DEC 10-13, 2007
QC 201103042011-03-042011-03-042011-03-04Bibliographically approved