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On the roles of function and selection in evolving systems

Physical laws—such as the laws of motion, gravity, electromagnetism, and thermodynamics—codify the general behavior of varied macroscopic natural systems across space and time. We propose that an additional, hitherto-unarticulated law is required to characterize familiar macroscopic phenomena of our...

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Autores principales: Wong, Michael L., Cleland, Carol E., Arend, Daniel, Bartlett, Stuart, Cleaves, H. James, Demarest, Heather, Prabhu, Anirudh, Lunine, Jonathan I., Hazen, Robert M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614609/
https://www.ncbi.nlm.nih.gov/pubmed/37844243
http://dx.doi.org/10.1073/pnas.2310223120
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author Wong, Michael L.
Cleland, Carol E.
Arend, Daniel
Bartlett, Stuart
Cleaves, H. James
Demarest, Heather
Prabhu, Anirudh
Lunine, Jonathan I.
Hazen, Robert M.
author_facet Wong, Michael L.
Cleland, Carol E.
Arend, Daniel
Bartlett, Stuart
Cleaves, H. James
Demarest, Heather
Prabhu, Anirudh
Lunine, Jonathan I.
Hazen, Robert M.
author_sort Wong, Michael L.
collection PubMed
description Physical laws—such as the laws of motion, gravity, electromagnetism, and thermodynamics—codify the general behavior of varied macroscopic natural systems across space and time. We propose that an additional, hitherto-unarticulated law is required to characterize familiar macroscopic phenomena of our complex, evolving universe. An important feature of the classical laws of physics is the conceptual equivalence of specific characteristics shared by an extensive, seemingly diverse body of natural phenomena. Identifying potential equivalencies among disparate phenomena—for example, falling apples and orbiting moons or hot objects and compressed springs—has been instrumental in advancing the scientific understanding of our world through the articulation of laws of nature. A pervasive wonder of the natural world is the evolution of varied systems, including stars, minerals, atmospheres, and life. These evolving systems appear to be conceptually equivalent in that they display three notable attributes: 1) They form from numerous components that have the potential to adopt combinatorially vast numbers of different configurations; 2) processes exist that generate numerous different configurations; and 3) configurations are preferentially selected based on function. We identify universal concepts of selection—static persistence, dynamic persistence, and novelty generation—that underpin function and drive systems to evolve through the exchange of information between the environment and the system. Accordingly, we propose a “law of increasing functional information”: The functional information of a system will increase (i.e., the system will evolve) if many different configurations of the system undergo selection for one or more functions.
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spelling pubmed-106146092023-10-31 On the roles of function and selection in evolving systems Wong, Michael L. Cleland, Carol E. Arend, Daniel Bartlett, Stuart Cleaves, H. James Demarest, Heather Prabhu, Anirudh Lunine, Jonathan I. Hazen, Robert M. Proc Natl Acad Sci U S A Physical Sciences Physical laws—such as the laws of motion, gravity, electromagnetism, and thermodynamics—codify the general behavior of varied macroscopic natural systems across space and time. We propose that an additional, hitherto-unarticulated law is required to characterize familiar macroscopic phenomena of our complex, evolving universe. An important feature of the classical laws of physics is the conceptual equivalence of specific characteristics shared by an extensive, seemingly diverse body of natural phenomena. Identifying potential equivalencies among disparate phenomena—for example, falling apples and orbiting moons or hot objects and compressed springs—has been instrumental in advancing the scientific understanding of our world through the articulation of laws of nature. A pervasive wonder of the natural world is the evolution of varied systems, including stars, minerals, atmospheres, and life. These evolving systems appear to be conceptually equivalent in that they display three notable attributes: 1) They form from numerous components that have the potential to adopt combinatorially vast numbers of different configurations; 2) processes exist that generate numerous different configurations; and 3) configurations are preferentially selected based on function. We identify universal concepts of selection—static persistence, dynamic persistence, and novelty generation—that underpin function and drive systems to evolve through the exchange of information between the environment and the system. Accordingly, we propose a “law of increasing functional information”: The functional information of a system will increase (i.e., the system will evolve) if many different configurations of the system undergo selection for one or more functions. National Academy of Sciences 2023-10-16 2023-10-24 /pmc/articles/PMC10614609/ /pubmed/37844243 http://dx.doi.org/10.1073/pnas.2310223120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Physical Sciences
Wong, Michael L.
Cleland, Carol E.
Arend, Daniel
Bartlett, Stuart
Cleaves, H. James
Demarest, Heather
Prabhu, Anirudh
Lunine, Jonathan I.
Hazen, Robert M.
On the roles of function and selection in evolving systems
title On the roles of function and selection in evolving systems
title_full On the roles of function and selection in evolving systems
title_fullStr On the roles of function and selection in evolving systems
title_full_unstemmed On the roles of function and selection in evolving systems
title_short On the roles of function and selection in evolving systems
title_sort on the roles of function and selection in evolving systems
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614609/
https://www.ncbi.nlm.nih.gov/pubmed/37844243
http://dx.doi.org/10.1073/pnas.2310223120
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