One connector, four scholarly indexes, real DOIs and legal free PDFs. Works in Claude and ChatGPT.
Paste it into Claude or ChatGPT as a custom connector. 3-day free trial.
A. S. Sharma, Dániel Czégel, Michael Lachmann, Christopher P. Kempes, Sara Imari Walker, Leroy Cronin
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.
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
Sharma, A. S., Czégel, D., Lachmann, M., Kempes, C. P., Walker, S. I., & Cronin, L. (2023). Assembly theory explains and quantifies selection and evolution. Nature, 622(7982), 321–328. https://doi.org/10.1038/s41586-023-06600-9
Sharma, A. S., et al. "Assembly theory explains and quantifies selection and evolution." Nature, vol. 622, no. 7982, 2023, pp. 321–328, https://doi.org/10.1038/s41586-023-06600-9.
Sharma, A. S., Dániel Czégel, Michael Lachmann, Christopher P. Kempes, Sara Imari Walker, and Leroy Cronin. "Assembly theory explains and quantifies selection and evolution." Nature 622, no. 7982 (2023): 321–328. https://doi.org/10.1038/s41586-023-06600-9.
Sharma A. S., Czégel D., Lachmann M. [и др.] Assembly theory explains and quantifies selection and evolution // Nature. — 2023. — Vol. 622, № 7982. — P. 321–328. — URL: https://doi.org/10.1038/s41586-023-06600-9
@article{sharma2023assembly,
title = {{Assembly theory explains and quantifies selection and evolution}},
author = {A. S. Sharma and Dániel Czégel and Michael Lachmann and Christopher P. Kempes and Sara Imari Walker and Leroy Cronin},
journal = {Nature},
year = {2023},
volume = {622},
number = {7982},
pages = {321--328},
doi = {10.1038/s41586-023-06600-9},
url = {https://doi.org/10.1038/s41586-023-06600-9}
}TY - JOUR AU - Sharma, A. S. AU - Czégel, Dániel AU - Lachmann, Michael AU - Kempes, Christopher P. AU - Walker, Sara Imari AU - Cronin, Leroy TI - Assembly theory explains and quantifies selection and evolution JO - Nature VL - 622 IS - 7982 SP - 321 EP - 328 PY - 2023 DA - 2023/10/04 DO - 10.1038/s41586-023-06600-9 UR - https://doi.org/10.1038/s41586-023-06600-9 ER -
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.