The information dynamics of phase transitions in random boolean networks

Joseph T. Lizier*, Mikhail Prokopenko, Albert Y. Zomaya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

49 Citations (Scopus)

Abstract

Random Boolean Networks (RBNs) are discrete dynamical systems which have been used to model Gene Regulatory Networks. We investigate the well-known phase transition between ordered and chaotic behavior in RBNs from the perspective of the distributed computation conducted by their nodes. We use a recently published framework to characterize the distributed computation in terms of its underlying information dynamics: information storage, information transfer and information modification. We find maximizations in information storage and coherent information transfer on either side of the critical point, allowing us to explain the phase transition in RBNs in terms of the intrinsic distributed computations they are undertaking.

Original languageEnglish
Title of host publicationArtificial Life XI: Proceedings of the 11th International Conference on the Simulation and Synthesis of Living Systems, ALIFE 2008
Place of PublicationCambridge, MA; London, UK
PublisherMIT Press
Pages374-381
Number of pages8
ISBN (Print)9780262750172
Publication statusPublished - 2008
Externally publishedYes
Event11th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life XI, ALIFE 2008 - Winchester, United Kingdom
Duration: 5 Aug 20088 Aug 2008

Other

Other11th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life XI, ALIFE 2008
CountryUnited Kingdom
CityWinchester
Period5/08/088/08/08

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