Evolving systems and directionality

Abstract Evolving systems in both the life and physical sciences are often thought to be directional. The processes that drive the evolution of systems are diverse, ranging from natural selection to thermodynamics. However, in many treatments of these processes, the different kinds of directionality and types of ends that evolving systems trend towards are often either poorly specified or implicitly assumed. This paper aims to provide a classification of ends and directional processes that can be used to identify and characterize directionality in evolving systems. Specifically, we propose that directional evolution can be either terminal or perpetual, with perpetual further divided into targeted or open-ended. Additionally, we caution against conflating organization, order, and complexity, as each tracks different properties of a directional system.

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Publication Details

Journal
Interface Focus
Published
2025-12-12
DOI
https://doi.org/10.1098/rsfs.2025.0018
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
1.82
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article

Evolving systems and directionality

Daniel W. McShea, Nichole Levesley, Gunnar Babcock
1 citations
Interface Focus
Evolution and Genetic Dynamics
1.82
article

Evolving systems and directionality

Daniel W. McShea, Nichole Levesley, Gunnar Babcock
article en
1 citations

Abstract

Abstract Evolving systems in both the life and physical sciences are often thought to be directional. The processes that drive the evolution of systems are diverse, ranging from natural selection to thermodynamics. However, in many treatments of these processes, the different kinds of directionality and types of ends that evolving systems trend towards are often either poorly specified or implicitly assumed. This paper aims to provide a classification of ends and directional processes that can be used to identify and characterize directionality in evolving systems. Specifically, we propose that directional evolution can be either terminal or perpetual, with perpetual further divided into targeted or open-ended. Additionally, we caution against conflating organization, order, and complexity, as each tracks different properties of a directional system.

Interface FocusVol. 15(5)
Duke University (US), Cornell University (US), University of Cambridge (GB), Duke Energy (United States) (US), New York State College of Agriculture & Life Sciences (US), Bridge University (SS), Duke University Hospital (US)
Openalex Percentile: Top 11%
Evolution and Genetic Dynamics
1.82
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