Maximum power efficiency and criticality in random Boolean networks.
Random Boolean networks are models of disordered causal systems that can occur in cells and the biosphere. These are open thermodynamic systems exhibiting a flow of energy that is dissipated at a finite rate. Life does work to acquire more energy, then uses the available energy it has gained to perform more work. It is plausible that natural selection has optimized many biological systems for power efficiency: useful power generated per unit fuel. In this Letter, we begin to investigate these questions for random Boolean networks using Landauer's erasure principle, which defines a minimum entropy cost for bit erasure. We show that critical Boolean networks maximize available power efficiency, which requires that the system have a finite displacement from equilibrium. Our initial results may extend to more realistic models for cells and ecosystems.
Carteret
Hilary A
HA
Institute for Biocomplexity and Informatics, Biosciences, University of Calgary, Calgary, Alberta, T2N 1N4, Canada. hcartere@qis.ucalgary.ca
Rose
Kelly John
KJ
Kauffman
Stuart A
SA
D015233:Models, Statistical; D008962:Models, Theoretical; D012984:Software; D013269:Stochastic Processes