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arXiv:2206.02279physics.bio-ph

Assembly Theory Explains and Quantifies the Emergence of Selection and Evolution

Abhishek Sharma, Dániel Czégel, Michael Lachmann, Christopher P. Kempes, Sara I. Walker, Leroy Cronin

Abstract

Since the time of Darwin, scientists have struggled to reconcile the evolution of biological forms in a universe determined by fixed laws. These laws underpin the origin of life, evolution, human culture and technology, as set by the boundary conditions of the universe, however these laws cannot predict the emergence of these things. By contrast evolutionary theory works in the opposite direction, indicating how selection can explain why some things exist and not others. To understand how open-ended forms can emerge in a forward-process from physics that does not include their design, a new approach to understand the non-biological to biological transition is necessary. Herein, we present a new theory, Assembly Theory (AT), which explains and quantifies the emergence of selection and evolution. In AT, the complexity of an individual observable object is measured by its Assembly Index (a), defined as the minimal number of steps needed to construct the object from basic building blocks. Combining a with the copy number defines a new quantity called Assembly which quantifies the amount of selection required to produce a given ensemble of objects. We investigate the internal structure and properties of assembly space and quantify the dynamics of undirected exploratory processes as compared to the directed processes that emerge from selection. The implementation of assembly theory allows the emergence of selection in physical systems to be quantified at any scale as the transition from undirected-discovery dynamics to a selected process within the assembly space. This yields a mechanism for the onset of selection and evolution and a formal approach to defining life. Because the assembly of an object is easily calculable and measurable it is possible to quantify a lower limit on the amount of selection and memory required to produce complexity uniquely linked to biology in the universe.

arXiv comments
22 pages, 7 figures
Journal reference
DOI
Subjects
physics.bio-phBiological Physics cond-mat.stat-mechStatistical Mechanics nlin.AOAdaptation and Self-Organizing Systems

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Linked by 2 identifiable commenters in 2 comments across 2 threads, from Aug 2023 to Sep 2023. Found in 2 HN submissions from Jun 2022 to Jan 2023. Open submission discussions.

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Discussed in comments2 threads

    • It should support the work of lee cronin and sarah walker (Assembly Theory), a novel way to identify compounds that are indicators of life by virtue of their complexity (so we don't need to make any dogmatic assumptions about what life can be made of). We still need to detect…

      zhynnView on HNParent context

    • Seems like there's a little bit of Assembly Theory in there as well. https://en.wikipedia.org/wiki/Assembly_theory https://arxiv.org/abs/2206.02279

      JieJieView on HNParent context

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