目标的尺度从细胞到解剖稳态:一个进化模拟,实验和分析。

IF 3.6 3区 生物学 Q1 BIOLOGY
Léo Pio-Lopez, Johanna Bischof, Jennifer V LaPalme, Michael Levin
{"title":"目标的尺度从细胞到解剖稳态:一个进化模拟,实验和分析。","authors":"Léo Pio-Lopez,&nbsp;Johanna Bischof,&nbsp;Jennifer V LaPalme,&nbsp;Michael Levin","doi":"10.1098/rsfs.2022.0072","DOIUrl":null,"url":null,"abstract":"<p><p>Complex living agents consist of cells, which are themselves competent sub-agents navigating physiological and metabolic spaces. Behaviour science, evolutionary developmental biology and the field of machine intelligence all seek to understand the scaling of biological cognition: what enables individual cells to integrate their activities to result in the emergence of a novel, higher-level intelligence with large-scale goals and competencies that belong to it and not to its parts? Here, we report the results of simulations based on the TAME framework, which proposes that evolution pivoted the collective intelligence of cells during morphogenesis of the body into traditional behavioural intelligence by scaling up homeostatic competencies of cells in metabolic space. In this article, we created a minimal <i>in silico</i> system (two-dimensional neural cellular automata) and tested the hypothesis that evolutionary dynamics are sufficient for low-level setpoints of metabolic homeostasis in individual cells to scale up to tissue-level emergent behaviour. Our system showed the evolution of the much more complex setpoints of cell collectives (tissues) that solve a problem in morphospace: the organization of a body-wide positional information axis (the classic French flag problem in developmental biology). We found that these emergent morphogenetic agents exhibit a number of predicted features, including the use of stress propagation dynamics to achieve the target morphology as well as the ability to recover from perturbation (robustness) and long-term stability (even though neither of these was directly selected for). Moreover, we observed an unexpected behaviour of sudden remodelling long after the system stabilizes. We tested this prediction in a biological system-regenerating planaria-and observed a very similar phenomenon. We propose that this system is a first step towards a quantitative understanding of how evolution scales minimal goal-directed behaviour (homeostatic loops) into higher-level problem-solving agents in morphogenetic and other spaces.</p>","PeriodicalId":13795,"journal":{"name":"Interface Focus","volume":"13 3","pages":"20220072"},"PeriodicalIF":3.6000,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102734/pdf/","citationCount":"1","resultStr":"{\"title\":\"The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.\",\"authors\":\"Léo Pio-Lopez,&nbsp;Johanna Bischof,&nbsp;Jennifer V LaPalme,&nbsp;Michael Levin\",\"doi\":\"10.1098/rsfs.2022.0072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Complex living agents consist of cells, which are themselves competent sub-agents navigating physiological and metabolic spaces. Behaviour science, evolutionary developmental biology and the field of machine intelligence all seek to understand the scaling of biological cognition: what enables individual cells to integrate their activities to result in the emergence of a novel, higher-level intelligence with large-scale goals and competencies that belong to it and not to its parts? Here, we report the results of simulations based on the TAME framework, which proposes that evolution pivoted the collective intelligence of cells during morphogenesis of the body into traditional behavioural intelligence by scaling up homeostatic competencies of cells in metabolic space. In this article, we created a minimal <i>in silico</i> system (two-dimensional neural cellular automata) and tested the hypothesis that evolutionary dynamics are sufficient for low-level setpoints of metabolic homeostasis in individual cells to scale up to tissue-level emergent behaviour. Our system showed the evolution of the much more complex setpoints of cell collectives (tissues) that solve a problem in morphospace: the organization of a body-wide positional information axis (the classic French flag problem in developmental biology). We found that these emergent morphogenetic agents exhibit a number of predicted features, including the use of stress propagation dynamics to achieve the target morphology as well as the ability to recover from perturbation (robustness) and long-term stability (even though neither of these was directly selected for). Moreover, we observed an unexpected behaviour of sudden remodelling long after the system stabilizes. We tested this prediction in a biological system-regenerating planaria-and observed a very similar phenomenon. We propose that this system is a first step towards a quantitative understanding of how evolution scales minimal goal-directed behaviour (homeostatic loops) into higher-level problem-solving agents in morphogenetic and other spaces.</p>\",\"PeriodicalId\":13795,\"journal\":{\"name\":\"Interface Focus\",\"volume\":\"13 3\",\"pages\":\"20220072\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102734/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interface Focus\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1098/rsfs.2022.0072\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interface Focus","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1098/rsfs.2022.0072","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 1

摘要

复杂的生物因子由细胞组成,细胞本身是导航生理和代谢空间的有能力的子因子。行为科学、进化发育生物学和机器智能领域都试图理解生物认知的尺度:是什么使单个细胞能够整合它们的活动,从而产生一种新的、更高水平的智能,这种智能具有属于它而不是属于它的各个部分的大范围目标和能力?在这里,我们报告了基于TAME框架的模拟结果,该框架提出,进化通过扩大细胞在代谢空间中的稳态能力,将身体形态发生期间细胞的集体智能转向传统的行为智能。在本文中,我们创建了一个最小的计算机系统(二维神经细胞自动机),并测试了进化动力学足以满足单个细胞代谢稳态的低水平设定值,从而扩展到组织水平的紧急行为的假设。我们的系统显示了细胞集体(组织)更复杂的设定值的进化,这些设定值解决了形态空间中的一个问题:组织一个全身范围的位置信息轴(发育生物学中经典的法国旗帜问题)。我们发现这些涌现的形态发生因子表现出许多可预测的特征,包括利用应力传播动力学来实现目标形态,以及从扰动中恢复(鲁棒性)和长期稳定性的能力(尽管这两者都不是直接选择的)。此外,我们观察到在系统稳定后很长一段时间内突然重构的意外行为。我们在再生涡虫的生物系统中测试了这一预测,并观察到非常相似的现象。我们认为,该系统是定量理解进化如何将最小目标导向行为(稳态循环)扩展到形态发生和其他空间中更高水平的问题解决代理的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.

The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.

The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.

The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis.

Complex living agents consist of cells, which are themselves competent sub-agents navigating physiological and metabolic spaces. Behaviour science, evolutionary developmental biology and the field of machine intelligence all seek to understand the scaling of biological cognition: what enables individual cells to integrate their activities to result in the emergence of a novel, higher-level intelligence with large-scale goals and competencies that belong to it and not to its parts? Here, we report the results of simulations based on the TAME framework, which proposes that evolution pivoted the collective intelligence of cells during morphogenesis of the body into traditional behavioural intelligence by scaling up homeostatic competencies of cells in metabolic space. In this article, we created a minimal in silico system (two-dimensional neural cellular automata) and tested the hypothesis that evolutionary dynamics are sufficient for low-level setpoints of metabolic homeostasis in individual cells to scale up to tissue-level emergent behaviour. Our system showed the evolution of the much more complex setpoints of cell collectives (tissues) that solve a problem in morphospace: the organization of a body-wide positional information axis (the classic French flag problem in developmental biology). We found that these emergent morphogenetic agents exhibit a number of predicted features, including the use of stress propagation dynamics to achieve the target morphology as well as the ability to recover from perturbation (robustness) and long-term stability (even though neither of these was directly selected for). Moreover, we observed an unexpected behaviour of sudden remodelling long after the system stabilizes. We tested this prediction in a biological system-regenerating planaria-and observed a very similar phenomenon. We propose that this system is a first step towards a quantitative understanding of how evolution scales minimal goal-directed behaviour (homeostatic loops) into higher-level problem-solving agents in morphogenetic and other spaces.

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
Interface Focus
Interface Focus BIOLOGY-
CiteScore
9.20
自引率
0.00%
发文量
44
审稿时长
6-12 weeks
期刊介绍: Each Interface Focus themed issue is devoted to a particular subject at the interface of the physical and life sciences. Formed of high-quality articles, they aim to facilitate cross-disciplinary research across this traditional divide by acting as a forum accessible to all. Topics may be newly emerging areas of research or dynamic aspects of more established fields. Organisers of each Interface Focus are strongly encouraged to contextualise the journal within their chosen subject.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信