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Population dynamics in a spin-glass model of chemical evolution
C Amitrano1, L Peliti, M Saber
1Dipartimento di Scienze Fisiche, Università di Napoli, Italy.
Abstract:
We introduce a simple model describing the evolution of a population of information-carrying macromolecules. We discuss the asymptotic dependence of the variability of the population on different parameters, representing the severity or the fluctuations of the environment. We show the existence of a transition separating a neutralist evolutionary regime from a trapped one. We investigate the dependence of the evolutionary behavior of the population on the correlation properties of the fitness landscape.
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