Coupled random boolean network forming an artificial tissue

Authors:
M. Villani;R. Serra;P. Ingrami;S. A. Kauffman
Affiliations:
DSSC, University of Modena and Reggio Emilia, Reggio Emilia;DSSC, University of Modena and Reggio Emilia, Reggio Emilia;DSSC, University of Modena and Reggio Emilia, Reggio Emilia;Institute for Biocomplexity and Informatics, University of Calgary, Calgary, AB, Canada
Venue:
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
Year:
2006

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Abstract

Random boolean networks (shortly, RBN) have proven useful in describing complex phenomena occurring at the unicellular level It is therefore interesting to investigate how their dynamical behavior is affected by cell-cell interactions, which mimics those occurring in tissues in multicellular organisms It has also been suggested that evolution may tend to adjust the parameters of the genetic network so that it operates close to a critical state, which should provide evolutionary advantage ; this hypothesis has received intriguing, although not definitive support from recent findings It is therefore particularly interesting to consider how the tissue-like organization alters the dynamical behavior of the networks close to a critical state In this paper we define a model tissue, which is a cellular automaton each of whose cells hosts a full RBN, and we report preliminary studies of the way in which the dynamics is affected.