Evolutionary robotics as a modelling tool in evolutionary biology

The use of evolutionary robotic systems to model aspects of evolutionary biology is well-established. Yet, few studies have asked the question, "What kind of model is an evolutionary robotic system?" This paper seeks to address that question in several ways. First, it is addressed by applying a structured model description developed for physical robot models of animal sensorimotor systems, then by outlining the strengths and limitations of evolutionary robotics for modelling evolutionary biology, and, finally, by considering the deepest questions in evolution and which of them might feasibly be modelled by evolutionary robotics. The paper concludes that although evolutionary robotics faces serious limitations in exploring deeper questions in evolutionary biology, its bottom-up approach to modelling populations of evolving phenotypes and their embodied interactions holds significant value for both testing and generating hypotheses.

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Publication Details

Journal
Frontiers in Robotics and AI
Published
2024-11-05
DOI
https://doi.org/10.3389/frobt.2024.1278983
Citations
3
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
1.04

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article

Evolutionary robotics as a modelling tool in evolutionary biology

Alan Winfield
3 citations
Frontiers in Robotics and AI
Evolutionary Algorithms and Applications
1.04
article

Evolutionary robotics as a modelling tool in evolutionary biology

Alan Winfield
article en
3 citations

Abstract

The use of evolutionary robotic systems to model aspects of evolutionary biology is well-established. Yet, few studies have asked the question, "What kind of model is an evolutionary robotic system?" This paper seeks to address that question in several ways. First, it is addressed by applying a structured model description developed for physical robot models of animal sensorimotor systems, then by outlining the strengths and limitations of evolutionary robotics for modelling evolutionary biology, and, finally, by considering the deepest questions in evolution and which of them might feasibly be modelled by evolutionary robotics. The paper concludes that although evolutionary robotics faces serious limitations in exploring deeper questions in evolutionary biology, its bottom-up approach to modelling populations of evolving phenotypes and their embodied interactions holds significant value for both testing and generating hypotheses.

Frontiers in Robotics and AIVol. 11
University of the West of England (GB), Bristol Robotics Laboratory (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 18%
Evolutionary Algorithms and Applications
1.04
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