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Random Multiple-Valued Networks: Theory and Applications
KTH, School of Information and Communication Technology (ICT), Electronic, Computer and Software Systems, ECS.ORCID iD: 0000-0001-7382-9408
2006 (English)In: Proceedings of The International Symposium on Multiple-Valued Logic, New York: IEEE , 2006, 159-164 p.Conference paper, Published paper (Refereed)
Abstract [en]

A living cell is essentially a molecular digital computer that configures itself as part of the execution of its code. By understanding how cells direct the assembly, of their Molecules, we can find ways to build computer Chips that can self-organize, evolve and adapt to a changing environment, In this paper we consider a model of the gene regulatory, network of living cells called random multiple-valued network (RMN). An RMN can be tuned so that its statistical features match the characteristics of living cells. We present a set of algorithms for redundancy removal, partitioning and computation of attractors in RMNs. We also discuss how RMNs can be used for implementing logic functions.

Place, publisher, year, edition, pages
New York: IEEE , 2006. 159-164 p.
Series
INTERNATIONAL SYMP ON MULTIPLE-VALUED LOGIC - PROCEEDINGS, ISSN 0195-623X
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-31550DOI: 10.1109/ISMVL.2006.36ISI: 000262505300027Scopus ID: 2-s2.0-33751068291ISBN: 978-0-7695-3197-7 (print)OAI: oai:DiVA.org:kth-31550DiVA: diva2:408210
Conference
36th International Symposium on Multiple-Valued Logic Singapore, SINGAPORE, MAY 17-20, 2006
Note

QC 20150708

Available from: 2011-04-04 Created: 2011-03-18 Last updated: 2015-07-08Bibliographically approved

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Dubrova, Elena

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