全息思维:4E认知和微生物群之间的桥梁

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
I. Palacios-García, Francisco J. Parada
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引用次数: 6

摘要

地球上所有的生命都有着内在的联系。每一种进化相互作用的基础都是微生物,它们是生物体和生态系统组成中不可分割的组成部分。现有的数据和这种对生命秩序的看法挑战了单基因生物个体的传统观念,表明生物实际上是复合的多物种复合体:整体生物。在本文中,我们介绍了我们对全息心灵概念的看法,这是一种与4E方法和全息理论兼容的生物认知概念。我们进一步扩展了思想作为复合动物因子的多基因组形态的新兴产品,在与其生态位不断变化的相互作用中。因此,我们简要回顾了最近关于脑-肠-微生物组轴和建筑环境微生物组的证据,以便在Holobiont Mind和4E认知方法之间建立一座桥梁,这两条互补的证据线以前没有联系过,为对健康和疾病有直接影响的研究开辟了新的场所。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The holobiont mind: A bridge between 4E cognition and the microbiome
All life on earth is intrinsically linked. At the very foundation of every evolutionary interaction are microorganisms, integral components in the composition of both organisms and ecosystems. The available data and this perspective on the order of life challenge the traditional conception of monogenetic biological individuals, suggesting living beings are actually composite multi-species complexes: holobionts. In the present article, we introduce our perspective on the concept of the holobiont mind, a biogenic conception of cognition compatible with the 4E approach and the holobiont theory. We furthermore expand on the idea of the mind as the emerging product of multi-genomic morphology of a composite animal-agent, in ever-changing interaction with its ecological niche. We thus briefly review recent evidence on the brain–gut–microbiome axis and the Microbiome of the Built Environment in order to provide a bridge between the Holobiont Mind and the 4E approach to Cognition, two complementary lines of evidence that have not been linked before, opening novel venues for research with direct impact on health and disease.
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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