Prebiotic Competition between Information Variants, With Low Error Catastrophe Risks
AbstractDuring competition for resources in primitive networks increased fitness of an information variant does not necessarily equate with successful elimination of its competitors. If variability is added fast to a system, speedy replacement of pre-existing and less-efficient forms of order is required as novel information variants arrive. Otherwise, the information capacity of the system fills up with information variants (an effect referred as “error catastrophe”). As the cost for managing the system’s exceeding complexity increases, the correlation between performance capabilities of information variants and their competitive success decreases, and evolution of such systems toward increased efficiency slows down. This impasse impedes the understanding of evolution in prebiotic networks. We used the simulation platform Biotic Abstract Dual Automata (BiADA) to analyze how information variants compete in a resource-limited space. We analyzed the effect of energy-related features (differences in autocatalytic efficiency, energy cost of order, energy availability, transformation rates and stability of order) on this competition. We discuss circumstances and controllers allowing primitive networks acquire novel information with minimal “error catastrophe” risks. We present a primitive mechanism for maximization of energy flux in dynamic networks. This work helps evaluate controllers of evolution in prebiotic networks and other systems where information variants compete. View Full-Text
Share & Cite This Article
Popa, R.; Cimpoiasu, V.M. Prebiotic Competition between Information Variants, With Low Error Catastrophe Risks. Entropy 2015, 17, 5274-5287.
Popa R, Cimpoiasu VM. Prebiotic Competition between Information Variants, With Low Error Catastrophe Risks. Entropy. 2015; 17(8):5274-5287.Chicago/Turabian Style
Popa, Radu; Cimpoiasu, Vily M. 2015. "Prebiotic Competition between Information Variants, With Low Error Catastrophe Risks." Entropy 17, no. 8: 5274-5287.