Winfield Alan F T
Bristol Robotics Laboratory, UWE Bristol, Bristol, United Kingdom.
Front Robot AI. 2024 Nov 5;11:1278983. doi: 10.3389/frobt.2024.1278983. eCollection 2024.
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.
使用进化机器人系统来模拟进化生物学的各个方面已经得到了广泛认可。然而,很少有研究提出过这样的问题:“进化机器人系统是哪种类型的模型?”本文旨在通过多种方式来回答这个问题。首先,通过应用为动物感觉运动系统的物理机器人模型开发的结构化模型描述来解决,然后概述进化机器人学在模拟进化生物学方面的优势和局限性,最后,思考进化中最深刻的问题以及其中哪些问题可以通过进化机器人学进行可行的模拟。本文得出结论,尽管进化机器人学在探索进化生物学中更深刻的问题时面临严重局限性,但其自下而上地模拟进化表型群体及其具体相互作用的方法对于检验和生成假设具有重要价值。