作为进化生物学建模工具的进化机器人学。

IF 2.9 Q2 ROBOTICS Frontiers in Robotics and AI Pub Date : 2024-11-05 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1278983
Alan F T Winfield
{"title":"作为进化生物学建模工具的进化机器人学。","authors":"Alan F T Winfield","doi":"10.3389/frobt.2024.1278983","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"11 ","pages":"1278983"},"PeriodicalIF":2.9000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11575461/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evolutionary robotics as a modelling tool in evolutionary biology.\",\"authors\":\"Alan F T Winfield\",\"doi\":\"10.3389/frobt.2024.1278983\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":47597,\"journal\":{\"name\":\"Frontiers in Robotics and AI\",\"volume\":\"11 \",\"pages\":\"1278983\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11575461/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Robotics and AI\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/frobt.2024.1278983\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Robotics and AI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frobt.2024.1278983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

摘要

利用进化机器人系统为进化生物学的各个方面建模的做法已得到广泛认可。然而,很少有研究提出这样的问题:"进化机器人系统是一个什么样的模型?本文试图从几个方面来解决这个问题。首先,通过应用为动物感知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这个问题;然后,通过概述进化机器人技术在模拟进化生物学方面的优势和局限性来解决这个问题;最后,通过考虑进化中最深层次的问题以及其中哪些问题可以用进化机器人技术来模拟。论文的结论是,尽管进化机器人学在探索进化生物学的深层问题方面面临严重的局限性,但它自下而上地模拟不断进化的表型群体及其体现的相互作用的方法,对于测试和生成假设具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
期刊最新文献
A spiking neural network for active efficient coding. Embedding-based pair generation for contrastive representation learning in audio-visual surveillance data. Advanced robotics for automated EV battery testing using electrochemical impedance spectroscopy. Pig tongue soft robot mimicking intrinsic tongue muscle structure. A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1