Stochastic dynamics of instabilities in evolutionary systems

Eberhard Bruckner; Werner Ebeling; Andrea Scharnhorst

doi:10.1002/sdr.4260050206

Stochastic dynamics of instabilities in evolutionary systems

Eberhard Bruckner, Werner Ebeling, Andrea Scharnhorst

DANS-KNAW

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

Abstract

This article develops a modeling framework that allows a formal description of evolutionary processes in social and biological systems. An enumerable set of fields (chemical sorts, biological species, technologies, areas of scientific endeavor, and so on) is considered, each field being characterized by the number and properties of its representatives (occupying elements). By introducing probabilities for the elementary processes of spontaneous generation, identical self‐reproduction, error reproduction, death, and transition to other fields, we define a Markov process in occupation number space. At any time, only a finite set of fields is occupied, and the appearance of a representative of a field with “better” properties produces an instability in the system. The characteristic dynamics of such “innovative instabilities” are investigated by simulation. As a particular example, we consider the nonlinear growth properties associated with the emergence of new areas of scientific research.

Original language	English
Pages (from-to)	176-191
Number of pages	16
Journal	System Dynamics Review
Volume	5
Issue number	2
DOIs	https://doi.org/10.1002/sdr.4260050206
Publication status	Published - 1989

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AB - This article develops a modeling framework that allows a formal description of evolutionary processes in social and biological systems. An enumerable set of fields (chemical sorts, biological species, technologies, areas of scientific endeavor, and so on) is considered, each field being characterized by the number and properties of its representatives (occupying elements). By introducing probabilities for the elementary processes of spontaneous generation, identical self‐reproduction, error reproduction, death, and transition to other fields, we define a Markov process in occupation number space. At any time, only a finite set of fields is occupied, and the appearance of a representative of a field with “better” properties produces an instability in the system. The characteristic dynamics of such “innovative instabilities” are investigated by simulation. As a particular example, we consider the nonlinear growth properties associated with the emergence of new areas of scientific research.

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