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Introduction to the Theory of Complex Systems$
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Stefan Thurner, Peter Klimek, and Rudolf Hanel

Print publication date: 2018

Print ISBN-13: 9780198821939

Published to Oxford Scholarship Online: November 2018

DOI: 10.1093/oso/9780198821939.001.0001

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Evolutionary Processes

Evolutionary Processes

Chapter:
(p.224) 5 Evolutionary Processes
Source:
Introduction to the Theory of Complex Systems
Author(s):

Stefan Thurner

Rudolf Hanel

Peter Klimekl

Publisher:
Oxford University Press
DOI:10.1093/oso/9780198821939.003.0005

Evolutionary processes combine many features of complex systems: they are algorithmic; states co-evolve with interactions; they show power law statistics; they are selforganized critical; and they are driven non-equilibrium systems. Evolution is a dynamical process that changes the composition of large sets of interconnected elements, entities, or species over time. The essence of evolutionary processes is that, through the interaction of existing entities with each other and with their environment, they give rise to an open-ended process of creation and destruction of new entities. Evolutionary processes are critical, co-evolutionary, and combinatorial, meaning that thew entities are created from combinations of existing ones. We review the concepts of the replicator equation, fitness landscapes, cascading events, the adjacent possible. We review several classical quantitative approaches to evolutionary dynamics such as the NK model and the Bak–Snappen model. We propose a general and universal framework for evolutionary dynamics that is critical, co-evolutionary, and combinatorial.

Keywords:   fitness-landscape, Bak–Sneppen model, NK model, technological evolution, innovation dynamics, adjacent possible, evolutionary economics, replicator equation, autocatalytic cycles

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