The evolutionary unfolding of complexity

Crutchfield, James P. and van Nimwegen, Erik. (2002) The evolutionary unfolding of complexity. In: Evolution as Computation. Berlin, pp. 67-94.

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Official URL: https://edoc.unibas.ch/83079/

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We analyze the population dynamics of a broad class of fitness functions that exhibit epochal evolution-a dynamical behavior, commonly observed in both natural and artificial evolutionary processes, in which long periods of stasis in an evolving population are punctuated by sudden bursts of change. Our approach statistical dynamics -combines methods from both statistical mechanics and dynamical systems theory in a way that offers an alternative to current "landscape" models of evolutionary optimization. We describe the population dynamics on the macroscopic level of fitness classes or phenotype subbasins, while averaging out the genotypic variation that is consistent with a macroscopic state. Metastability in epochal evolution occurs solely at the macroscopic level of the fitness distribution. While a balance between selection and mutation maintains a quasistationary distribution of fitness, individuals diffuse randomly through selectively neutral subbasins in genotype space. Sudden innovations occur when, through this diffusion, a genotypic portal is discovered that connects to a new subbasin of higher fitness genotypes. In this way, we identify evolutionary innovations with the unfolding and stabilization of a new dimension in the macroscopic state space. The architectural view of subbasins and portals in genotype space clarifies how frozen accidents and the resulting phenotypic constraints guide the evolution to higher complexity.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
UniBasel Contributors:van Nimwegen, Erik
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Series Name:Natural Computing Series
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:27 Jul 2021 13:29
Deposited On:27 Jul 2021 13:29

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