Cited by 184Philosophy of Biology and Scientific ExplanationComplex Systems and DynamicsEvolution and Genetic Dynamics

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Assembly theory explains and quantifies selection and evolution

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Abstract

Scientists have grappled with reconciling biological evolution 1,2 with the immutable laws of the Universe defined by physics. These laws underpin life’s origin, evolution and the development of human culture and technology, yet they do not predict the emergence of these phenomena. Evolutionary theory explains why some things exist and others do not through the lens of selection. To comprehend how diverse, open-ended forms can emerge from physics without an inherent design blueprint, a new approach to understanding and quantifying selection is necessary 3–5 . We present assembly theory (AT) as a framework that does not alter the laws of physics, but redefines the concept of an ‘object’ on which these laws act. AT conceptualizes objects not as point particles, but as entities defined by their possible formation histories. This allows objects to show evidence of selection, within well-defined boundaries of individuals or selected units. We introduce a measure called assembly ( A ), capturing the degree of causation required to produce a given ensemble of objects. This approach enables us to incorporate novelty generation and selection into the physics of complex objects. It explains how these objects can be characterized through a forward dynamical process considering their assembly. By reimagining the concept of matter within assembly spaces, AT provides a powerful interface between physics and biology. It discloses a new aspect of physics emerging at the chemical scale, whereby history and causal contingency influence what exists.

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Crossref · 10.1038/s41586-023-06600-9

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  • The logic of assembly spaces may lead to certain types of universal convergence.

    “These shape evolution and shift the way one should think about sequence search conditioned on the past, where the logic of assembly spaces may lead to certain types of universal convergence [56].”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [56]

    In “Selection within assembly spaces” (page unavailable), the paper says selection and historical contingency constrain what can be made in the future, supporting the idea that assembly-space logic shapes evolutionary possibilities. “The assembly equation” describes shared assembly pathways, but the copy does not say that those constraints may produce universal convergence; that part remains unsupported. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • Entities within evolutionary systems emerge within assembly spaces and are constructed from components over evolutionary timescales.

    “Entities within the system emerge within assembly spaces [2,55,56]. They are constructed from components over evolutionary timescales.”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [56]

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Citations

Cites

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Research works printed but not linked: 23

  1. Kauffman, S. A. The Origins of Order: Self-organization and Selection in Evolution (Oxford Univ. Press, 1993). · DOI
  2. Gregory, T. R. Understanding natural selection: essential concepts and common misconceptions. Evol. Educ. Outreach 2, 156–175 (2009). · DOI
  3. Frank, S. A. & Fox, G. A. in The Theory of Evolution (eds Scheiner, S. M. & Mindell D. P.) 171–193 (Univ. of Chicago Press, 2020). · DOI
  4. Carroll, S. B. Chance and necessity: the evolution of morphological complexity and diversity. Nature 409, 1102–1109 (2001). · DOI
  5. Cross, M. C. & Hohenberg, P. C. Pattern formation outside of equilibrium. Rev. Mod. Phys. 65, 851–1112 (1993). · DOI · Paper page
  6. Tilman, D. Resource Competition and Community Structure. (MPB-17) Vol. 17 (Princeton Univ. Press, 2020). · DOI
  7. Elena, S. F., Cooper, V. S. & Lenski, R. E. Punctuated evolution caused by selection of rare beneficial mutations. Science 272, 1802–1804 (1996). · DOI
  8. Lutz, E. Power-law tail distributions and nonergodicity. Phys. Rev. Lett. 93, 190602 (2004). · DOI
  9. Cortês, M., Kauffman, S. A., Liddle, A. R. & Smolin, L. The TAP equation: evaluating combinatorial innovation in biocosmology. Preprint at http://arxiv.org/abs/2204.14115 (2023). · arXiv
  10. Fontana, W. & Buss, L. W. in Boundaries and Barriers (eds Casti, J. & Karlqvist, A.) 56–116 (Addison-Wesley, 1996).
  11. Marshall, S. M., Murray, A. R. G. & Cronin, L. A probabilistic framework for identifying biosignatures using Pathway Complexity. Philos. Trans. R. Soc. Math. Phys. Eng. Sci. 375, 20160342 (2017).
  12. Marshall, S. M., Moore, D. G., Murray, A. R. G., Walker, S. I. & Cronin, L. Formalising the pathways to life using assembly spaces. Entropy 24, 884 (2022). · DOI
  13. Liu, Y. et al. Exploring and mapping chemical space with molecular assembly trees. Sci. Adv. 7, eabj2465 (2021). · DOI
  14. Ellis, G. F. R. Top-down causation and emergence: some comments on mechanisms. Interface Focus 2, 126–140 (2012). · DOI
  15. Koskinen, R. Multiple realizability as a design heuristic in biological engineering. Eur. J. Philos. Sci. 9, 15 (2019). · DOI
  16. Wallace, C. S. Minimum message length and Kolmogorov complexity. Comput. J. 42, 270–283 (1999). · DOI
  17. Bennett, C. H. in The Universal Turing Machine: A Half Century Survey (ed. Herken, R.) 227–257 (Oxford Univ. Press, 1988).
  18. Deutsch, D. & Marletto, C. Constructor theory of information. Proc. R. Soc. Math. Phys. Eng. Sci. 471, 20140540 (2015).
  19. Marletto, C. Constructor theory of life. J. R. Soc. Interface 12, 20141226 (2015). · DOI
  20. Lewontin, R. C. The units of selection. Annu. Rev. Ecol. Syst. 1, 1–18 (1970). · DOI
  21. Beasley, J. R. & Hecht, M. H. Protein design: the choice of de novo sequences. J. Biol. Chem. 272, 2031–2034 (1997). · DOI
  22. Asche, S., Cooper, G. J. T., Mathis, C. & Cronin, L. A robotic prebiotic chemist probes long term reactions of complexifying mixtures. Nat. Commun. 12, 3547 (2021). · DOI
  23. Jirasek, M. et al. Multimodal techniques for detecting alien life using assembly theory and spectroscopy. Preprint at https://doi.org/10.48550/ARXIV.2302.13753 (2023). · DOI

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Metadata

Authors
Sharma, A., Czégel, D., Lachmann, M., Kempes, C. P., Walker, S. I., & Cronin, L.
Affiliations
  • University of Glasgow (GB)
  • HUN-REN Centre for Ecological Research (HU)
  • Santa Fe Institute (US)
  • Arizona State University (US)
Corresponding author
  • Walker, Sara I.
  • Cronin, Leroy
Venue
Nature
Published
2023-10-04
Volume
622
Issue
7982
Pages
321-328
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W4387332482
Cited by
184
References
4
Citations by year
2026: 55 · 2025: 64 · 2024: 58 · 2023: 7
FWCI
165.92
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • National Aeronautics and Space Administration (80NSSC18K1140)
  • John Templeton Foundation (62231, 61184)
  • Arizona State University
  • Breakthrough Prize Foundation
  • University of Glasgow
  • Nuclear Safety and Security Commission
  • Engineering and Physical Sciences Research Council (EP/S019472/1, EP/R01308X/1, EP/P00153X/1, EP/L023652/1)
  • H2020 European Research Council (670467)
Topics
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Keywords
assembly theory, selection, evolution, formation history, novelty generation, origin of life, complex objects, open-ended evolution
MeSH terms
Origin of Life, Animals, Cultural Evolution, Biological Evolution, Humans, Models, Theoretical, Physics, Selection, Genetic, Inventions

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