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A variational approach to niche construction
Open accessAbstract
In evolutionary biology, niche construction is sometimes described as a genuine evolutionary process whereby organisms, through their activities and regulatory mechanisms, modify their environment such as to steer their own evolutionary trajectory, and that of other species. There is ongoing debate, however, on the extent to which niche construction ought to be considered a bona fide evolutionary force, on a par with natural selection. Recent formulations of the variational free-energy principle as applied to the life sciences describe the properties of living systems, and their selection in evolution, in terms of variational inference. We argue that niche construction can be described using a variational approach. We propose new arguments to support the niche construction perspective, and to extend the variational approach to niche construction to current perspectives in various scientific fields.
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“As we show here, niche construction, which can be seen as a meta-learning mechanism (Constant et al., 2018), can prove promising in complexifying environments and population dynamics and bring us closer to artificial agents with behaviors reminiscent of natural ones.”
From Dynamics of niche construction in adaptable populations evolving in diverse environments (2023) · cites this paper as Constant et al., 2018
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“This process has been formalized as free energy minimization through environmental modification, providing a variational basis for niche construction (Constant et al., 2018).”
From Social Reality Construction via Active Inference: Modeling the Dialectic of Conformity and Creativity (2026) · cites this paper as Constant et al., 2018
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“However, specific phenotypes are determined by interactions between internal intrinsic dynamics (i.e., intra-system evolution) as well as external systems with which these dynamics couple via niche construction and phenotypic plasticity (Constant et al., 2018).”
From An Integrated World Modeling Theory (IWMT) of Consciousness (2020) · cites this paper as Constant et al., 2018
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Metadata
- Authors
- Constant, A., Ramstead, M. J. D., Veissière, S. P. L., Campbell, J. O., & Friston, K. J.
- Affiliations
- University of Amsterdam (NL)
- McGill University (CA)
- Independent Researcher, Victoria, BC, Canada
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Constant, Axel
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2018-04
- Volume
- 15
- Issue
- 141
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- PMC
- PMC5938575
- OpenAlex
- W2797051230
- Cited by
- 204
- References
- 103
- Citations by year
- 2026: 8 · 2025: 23 · 2024: 23 · 2023: 22 · 2022: 24 · 2021: 27 · 2020: 54 · 2019: 18 · 2018: 5
- FWCI
- 28.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of The Royal Society Interface (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PhilPapers (PhilPapers Foundation) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Wellcome Trust (088130/Z/09/Z)
- Social Sciences and Humanities Research Council of Canada
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Keywords
- niche construction, variational inference, natural selection, evolutionary trajectories, biological systems
- MeSH terms
- Adaptation, Physiological, Bayes Theorem, Biological Evolution, Models, Theoretical
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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