ArticleBiology & philosophy2017
The animal sensorimotor organization: a challenge for the environmental complexity thesis.
Article in Biology & philosophy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Individuality Through Ecology: Rethinking the Evolution of Complex Life From an Externalist Perspective.Ecology and evolution · 2024Article
- Neuronal and non-neuronal functions of the synaptic cell adhesion molecule neurexin in Nematostella vectensis.Nature communications · 2024Article
- Integrating Multicellular Systems: Physiological Control and Degrees of Biological Individuality.Acta biotheoretica · 2023Article
- Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind.Animal cognition · 2023Review
- Cellular Competency during Development Alters Evolutionary Dynamics in an Artificial Embryogeny Model.Entropy (Basel, Switzerland) · 2023Article
- Minding the gut: extending embodied cognition and perception to the gut complex.Frontiers in neuroscience · 2023Article
- Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments.Entropy (Basel, Switzerland) · 2022Article
- Elementary nervous systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- The Shared Origins of Embodiment and Development.Frontiers in systems neuroscience · 2021Article
- Inherency of Form and Function in Animal Development and Evolution.Frontiers in physiology · 2019Review
- Bodily Complexity: Integrated Multicellular Organizations for Contraction-Based Motility.Frontiers in physiology · 2019Article
- Understanding Multicellularity: The Functional Organization of the Intercellular Space.Frontiers in physiology · 2019Article
- Article
- The subject as cause and effect of evolution.Interface focus · 2017Review
- Modelling the effects of short and random proto-neural elongations.Journal of the Royal Society, Interface · 2017Article
- Evolutionary convergence and biologically embodied cognition.Interface focus · 2017Review
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Godfrey-Smith's environmental complexity thesis (ECT) is most often applied to multicellular animals and the complexity of their macroscopic environments to explain how cognition evolved. We think that the ECT may be less suited to explain the origins of the animal bodily organization, including this organization's potentiality for dealing with complex macroscopic environments. We argue that acquiring the fundamental sensorimotor features of the animal body may be better explained as a consequence of dealing with internal bodily-rather than environmental complexity. To press and elucidate this option, we develop the notion of an animal sensorimotor organization (ASMO) that derives from an internal coordination account for the evolution of early nervous systems. The ASMO notion is a reply to the question how a collection of single cells can become integrated such that the resulting multicellular organization becomes sensitive to and can manipulate macroscopic features of both the animal body and its environment. In this account, epithelial contractile tissues play the central role in the organization behind complex animal bodies. In this paper, we relate the ASMO concept to recent work on epithelia, which provides empirical evidence that supports central assumptions behind the ASMO notion. Second, we discuss to what extent the notion applies to basic animal architectures, exemplified by sponges and jellyfish. We conclude that the features exhibited by the ASMO are plausibly explained by internal constraints acting on and within this multicellular organization, providing a challenge for the role the ECT plays in this context.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.