Frontiers in Physiology
Critical phenomena disrupt the mathematical determination at a given level by couplings between scales, leading to a new perspective on levels of organization.
Biological thinking is structured by the notion of level of organization. We will show that this notion acquires a precise meaning in critical phenomena: they disrupt, by the appearance of infinite quantities, the mathematical (possibly equational) determination at a given level, when moving at an “higher” one. As a result, their analysis cannot be called genuinely bottom-up, even though it remains upward in a restricted sense. At the same time, criticality and related phenomena are very common in biology. Because of this, we claim that bottom-up approaches are not sufficient, in principle, to capture biological phenomena. In the second part of this paper, following the work of Francis Bailly, we discuss a strong criterium of level transition. The core idea of the criterium is to start from the breaking of the symmetries and determination at a “first” level in order to “move” at the others. If biological phenomena have multiple, sustained levels of organization in this sense, then they should be interpreted as extended critical transitions.
Keywords: bottom-up, extended criticality, levels of organization, organism, renormalization, singularity
Genetic and Evolutionary Computation Conference
The evolution of life marks the end of a physics world view of law entailed dynamics. We discuss the notions of causation and of enablement.
Biological evolution is a complex blend of ever changing structural stability, variability and emergence of new phe- notypes, niches, ecosystems. We wish to argue that the evo- lution of life marks the end of a physics world view of law entailed dynamics. Our considerations depend upon dis- cussing the variability of the very ”contexts of life”: the in- teractions between organisms, biological niches and ecosys- tems. These are ever changing, intrinsically indeterminate and even unprestatable: we do not know ahead of time the ”niches” which constitute the boundary conditions on selec- tion. More generally, by the mathematical unprestatability of the ”phase space” (space of possibilities), no laws of mo- tion can be formulated for evolution. We call this radical emergence, from life to life. The purpose of this paper is the integration of variation and diversity in a sound concep- tual frame and situate unpredictability at a novel theoretical level, that of the very phase space. Our argument will be carried on in close comparisons with physics and the mathematical constructions of phase spaces in that discipline. The role of (theoretical) symmetries as invariant preserving transformations will allow us to under- stand the nature of physical phase spaces and to stress the differences required for a sound biological theoretizing. In this frame, we discuss the novel notion of ”enablement”. Life lives in a web of enablement and radical emergence. This will restrict causal analyses to differential cases (a difference that causes a difference). Mutations or other causal differ- ences will allow us to stress that ”non conservation princi- ples” are at the core of evolution, in contrast to physical dynamics, largely based on conservation principles as sym- metries. Critical transitions, the main locus of symmetry changes in physics, will be discussed, and lead to ”extended criticality” as a conceptual frame for a better understanding of the living state of matter.
Keywords: conservation properties, symmetries, biological causality
CitationLongo, G., Maël Montévil, and S. Kauffman. 2012. “No Entailing Laws, but Enablement in the Evolution of the Biosphere.” In Genetic and Evolutionary Computation Conference, GECCO’12. New York, NY, USA: GECCO’12; ACM. https://doi.org/10.1145/2330784.2330946
The Inert vs. the Living State of Matter: Extended Criticality, Time Geometry, Anti-Entropy — an overview
Frontiers in Physiology
The physical singularity of life phenomena is analyzed by a comparison with the theories of the inert with a focus on criticality, time, and anti-entropy.
The physical singularity of life phenomena is analyzed by means of comparison with the driving concepts of theories of the inert. We outline conceptual analogies, transferals of methodologies and theoretical instruments between physics and biology, in addition to indicating significant differences and sometimes logical dualities. In order to make biological phenomenalities intelligible, we introduce theoretical extensions to certain physical theories. In this synthetic paper, we summarize and propose a unified conceptual framework for the main conclusions drawn from work spanning a book and several articles, quoted throughout.
Keywords: criticality, biological time, anti-entropy, theoretical biology, symmetry, allometry, incompleteness
Computation, Physics and Beyond
We revisit the analysis of anti-entropy. In particular, we analyze how randomness stemming from variability leads to the growth of biological organization.
In this text, we revisit part of the analysis of anti-entropy in  and develop further theoretical reflections. In particular, we analyze how randomness, an essential component of biological variability, is associated to the growth of biological organization, both in ontogenesis and in evolution. This approach, in particular, focuses on the role of global entropy production and provides a tool for a mathematical understanding of some fundamental observations by Gould on the increasing phenotypic complexity along evolution. Lastly, we analyze the situation in terms of theoretical symmetries, in order to further specify the biological meaning of anti-entropy as well as its strong link with randomness.
Keywords: Entropy Production, Biological Evolution, Irreversible Process, Combinatorial Complexity, Biological Organization
CitationLongo, Giuseppe, and Maël Montévil. 2012. “Randomness Increases Order in Biological Evolution.” In Computation, Physics and Beyond, edited by Michael J. Dinneen, Bakhadyr Khoussainov, and André Nies, 7160:289–308. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-27654-5_22