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Chapters in english

  1. Comment le hasard façonne le vivant ?

    Comment le hasard façonne le vivant ?

    Figures du hasard


    En biologie, le hasard est une notion essentielle pour comprendre les variations ; cependant, cette notion n'est généralement pas conceptualisée avec précision. Nous apportons ici quelques éléments allant dans ce sens.

    Abstract

    La physique possède plusieurs concepts de hasard qui reposent néanmoins tous sur l’idée que les possibilités sont données d’avance. En revanche, un nombre croissant de biologistes théoriciens cherchent à introduire la notion de nouvelles possibilités, c’est-à-dire des modifications de l’espace des possibles - une idée déjà discutée par Bergson et qui n’a pas été véritablement poursuivie scientifiquement jusqu’à récemment (sauf, en un sens, dans la systématique, c’est-à-dire la méthode de classification des êtres vivants). <br> Alors, le hasard opère au niveau des possibilités elles-mêmes et est à la base de l’historicité des objets biologiques. Nous soulignons que ce concept de hasard n’est pas seulement pertinent lorsqu’on cherche à prédire l’avenir. Au contraire, il façonne les organisations biologiques et les écosystèmes. À titre d’illustration, nous soutenons qu’une question cruciale de l’Anthropocène est la disruption des organisations biologiques que l’histoire naturelle a structurées, conduisant à un effondrement des possibilités biologiques.

    Citation
    Montévil, Maël. n.d. “Comment Le Hasard Façonne Le Vivant ?” In Figures Du Hasard, edited by Anne Duprat, Fiona Mcintosh-Varjabédian, Anne-Gaëlle Weber, Alison James, and Divya Dwivedi. CNRS éditions
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  2. How does randomness shape the living?

    How does randomness shape the living?

    Figures of chance II chance in theory and practice


    In biology, randomness is a critical notion to understand variations; however this notion is typically not conceptualized precisely. Here we provide some elements in that direction.

    Abstract

    Physics has several concepts of randomness that build on the idea that the possibilities are pre-given. By contrast, an increasing number of theoretical biologists attempt to introduce new possibilities, that is to say, changes of possibility space – an idea already discussed by Bergson and that was not genuinely pursued scientifically until recently (except, in a sense, in systematics, i.e, the method to classify living beings). <br> Then, randomness operates at the level of possibilities themselves and is the basis of the historicity of biological objects. We emphasize that this concept of randomness is not only relevant when aiming to predict the future. Instead, it shapes biological organizations and ecosystems. As an illustration, we argue that a critical issue of the Anthropocene is the disruption of the biological organizations that natural history has shaped, leading to a collapse of biological possibilities.

    Citation
    Montévil, Maël. 2025. “How Does Randomness Shape the Living?” In Figures of Chance II Chance in Theory and Practice, edited by Anne Duprat, Alison James, and Divya Dwivedi. Taylor & Francis
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  3. Le vivant et le jeu

    Le vivant et le jeu

    Jeux, gestes et savoirs


    Qu'est ce que le jeu d'un point de vue biologique?

    Abstract

    La dix-septième édition des Entretiens du Nouveau Monde Industriel apporte un éclairage théorique, historique et épistémologique sur le pouvoir du jeu. Cet ouvrage mobilise les apports théoriques des sciences du vivant, de la psychologie, de l’économie, de la philosophie ou des sciences du jeu, aussi bien que des comptes-rendus d’expérimentations de terrain.

    Citation
    Montévil, Maël. 2024. “Le Vivant et Le Jeu.” In Jeux, Gestes et Savoirs, edited by Franck Cormerais, Vincent Puig, and Mathieu Triclot
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  4. Disruptions du développement humain

    Disruptions du développement humain

    L’humain qui vient


    Les biologistes décrivent actuellement une multitude de disruptions ayant lieu à tous les niveaux d’organisation du vivant, humains et non-humains.

    Abstract

    Les biologistes décrivent actuellement une multitude de disruptions ayant lieu à tous les niveaux d’organisation du vivant, humains et non-humains. Ces disruptions proviennent principalement des technologies, qu’il s’agisse de la machine thermique issue de la première révolution industrielle, et du changement climatique subséquent, de la chimie avec notamment les perturbateurs endocriniens qui en sont issus, ou du numérique avec l’immixtion des écrans dans la relation parents-jeunes enfants (dans le cas des humains). Les infidélités du milieu ne sont pas étrangères au vivant comme le soulignait Canguilhem, mais la spécificité de ces disruption est leur rythme qui excède les capacité normative du vivant, humain et non-humain, conduisant à une contrepartie biologique de ce que Stiegler appelait la disruption comme régime actuel des sociétés humaines. Nous insisterons sur les conséquences de ces disruptions concernant le développement humain, biologique et psychique, et nous indiquerons des réponses possibles face à ces disruptions.

    Citation
    Montévil, Maël. 2024. “Disruptions Du Développement Humain.” In L’humain Qui Vient, edited by Raphael Zagury-Orly and Alain Fleischer
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  5. Normativité et disruption du vivant dans l’anthropocène

    Normativité et disruption du vivant dans l’anthropocène

    Georges canguilhem, 80 ans après le normal et le pathologique


    Quelle est aujourd'hui la pertinence des concepts de Canguilhem pour la compréhension du vivant et l'action.

    Abstract

    Quatre-vingts ans après, Le Normal et le Pathologique est une référence majeure en philosophie mais qu’en est-il en biologie et en médecine ? Plus précisément, quelle est aujourd’hui la pertinence des concepts de Canguilhem dans la compréhension du vivant et de l’action concernant le vivant ?

    Citation
    Montévil, Maël. 2024. “Normativité et Disruption Du Vivant Dans l’anthropocène.” In Georges Canguilhem, 80 Ans Après Le Normal et Le Pathologique, edited by Pierre-Frédéric Daled, Mathias Girel, and Nathalie Queyroux. Les Rencontres de Normale Sup’. Paris: Rue d’Ulm. https://presses.ens.psl.eu/georges-canguilhem.html
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  6. Bernard stiegler: Friendship and fellowship

    Bernard stiegler: Friendship and fellowship

    On bernard stiegler - philosopher of friendship


    When I first met Bernard Stiegler, he was starting his program in Plaine Commune, a suburb of Paris that mixes misery of all kinds with young and creative vitality.

    Abstract

    What I love, and those whom I love, you, that is to say us in so far as we are capable of forming a we, all this I love, and I love them, and I love you infinitely (Bernard Steigler April 1952- August 2020). <br> When Bernard Stiegler writes ’I love you’ in the quote above, he openly provokes us to question or experience the meaning or contact of these words. He also invites us to question the relationship between a thinker’s life and their thought. For Stiegler, they were inextricable. His life was one that focused on friendship but not friendships at a purely social level but ones that produced philosophy, politics, and existential truths. <br> Bringing together scholars who knew Stiegler, including Shaj Mohan, Achille Mbembe, Divya Dwivedi, Peter Szendy, and Emily Apter, this volume provides an original - and personal - insight into his life and philosophy. Each piece gives a sense of the wide range of Stiegler’s work and how it affected the praxis of the philosopher in different parts of the world.

    Citation
    Montévil, Maël. 2024. “Bernard Stiegler: Friendship and Fellowship.” In On Bernard Stiegler - Philosopher of Friendship, edited by Shaj Mohan and Jean-Luc Nancy, 1st ed. London: Bloomsbury Publishing Plc. https://www.bloomsbury.com/uk/on-bernard-stiegler-9781350329034/
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  7. Plaine commune, contributive learning territory: Memories of the future

    Plaine commune, contributive learning territory: Memories of the future

    Memories for the future: Thinking with bernard stiegler


    The contributive economy is a strategy to disrupt technological disruption by developing knowledge in all its forms. This program has led to several concrete working groups in Plaine Commune.

    Abstract

    The program Plaine Commune, contributive learning territory, started in late 2016. It emerged from the theoretical work of Bernard Stiegler and the Ars Industrialis group. The contributive economy is a strategy to disrupt technological disruption by developing knowledge in all its forms. This program has led to several concrete working groups in Plaine Commune, while others are still developing. Mainly, work is taking place on the economy, digital urbanism, and young children’s development in the context of the overuse of digital media. Here, we focus on the group on digital media and young children’s development and how academics and inhabitant works integrate.

    Citation
    Montévil, Maël. 2024. “Plaine Commune, Contributive Learning Territory: Memories of the Future.” In Memories for the Future: Thinking with Bernard Stiegler, edited by Bart Buseyne, Georgios Tsagdis, and Paul Willemarck. London: Bloomsbury Academic. https://www.bloomsbury.com/uk/bernard-stiegler-9781350410459/
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  8. Mathematical modeling in the study of organisms and their parts

    Mathematical modeling in the study of organisms and their parts

    Systems biology


    How do mathematical models convey meaning? What is required to build a model? An introduction for biologists and philosophers.

    Abstract

    Mathematical modeling is a very powerful tool to understand natural phenomena. Such a tool carries its own assumptions and should always be used critically. In this chapter we highlight the key ingredients and steps of modeling and focus on their biological interpretation. Particularly, we discuss the role of theoretical principles in writing models. We also highlight the meaning and interpretation of equations. The main aim of this chapter is to facilitate the interaction between biologists and mathematical modelers. We focus on the case of cell proliferation and motility in the context of multicellular organisms.

    Citation
    Montévil, Maël. 2024. “Mathematical Modeling in the Study of Organisms and Their Parts.” In Systems Biology, edited by Mariano Bizzarri, 2nd ed. 2024., 105–19. Methods in Molecular Biology 2745. New York, NY: Springer US. https://doi.org/10.1007/978-1-0716-3577-3_7
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  9. Remarques sur les corps

    Remarques sur les corps

    Jean-luc nancy : Anastasis de la pensée


    Dans ce texte, je propose trois ouvertures à partir des réflexions de Jean-Luc Nancy concernant le corps, notamment dans Corpus et L’Intrus.

    Abstract

    Dans ce texte, je propose trois ouvertures à partir des réflexions de Jean-Luc Nancy concernant le corps, notamment dans Corpus et L’Intrus.

    Citation
    Montévil, Maël. 2023. “Remarques Sur Les Corps.” In Jean-Luc Nancy : Anastasis de La Pensée, edited by Divya Dwivedi, Jérôme Lèbre, Maël Montévil, and François Warin. Hermann. https://www.editions-hermann.fr/livre/jean-luc-nancy-anastasis-de-la-pensee-divya-dwivedi
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  10. Modeling organogenesis from biological first principles

    Modeling organogenesis from biological first principles

    Organization in biology


    Here we discuss the application and articulation of biological principles for mathematical modeling of morphogenesis in the case of mammary ductal morphogenesis, with an emphasis on the default state.

    Abstract

    Unlike inert objects, organisms and their cells have the ability to initiate activity by themselves, and thus change their properties or states even in the absence of an external cause. This crucial difference led us to search for principles suitable for the study organisms. We propose that cells follow the default state of proliferation with variation and motility, a principle of biological inertia. This means that in the presence of sufficient nutrients, cells will express their default state. We also propose a principle of variation that addresses two central features of organisms, variation and historicity. To address interdependence between parts, we use a third principle, the principle of organization: more specifically, the notion of the closure of constraints. Within this theoretical framework, constraints are specific theoretical entities defined by their relative stability with respect to the processes they constrain. Constraints are mutually dependent in an organized system and act on the default state. <br>Here we discuss the application and articulation of these principles for mathematical modeling of morphogenesis in a specific case, that of mammary ductal morphogenesis, with an emphasis on the default state. Our model has both a biological component, the cells, and a physical component, the matrix that contains collagen fibers. Cells are agents that move and proliferate unless constrained; they exert mechanical forces that i) act on collagen fibers and ii) on other cells. As fibers are organized, they constrain the cells’ ability to move and to proliferate. This model exhibits a circularity that can be interpreted in terms of the closure of constraints. Implementing our mathematical model shows that constraints to the default state are sufficient to explain the formation of mammary epithelial structures. Finally, the success of this modeling effort suggests a step-wise approach whereby additional constraints imposed by the tissue and the organism can be examined in silico and rigorously tested by in vitro and in vivo experiments, in accordance with the organicist perspective we embrace.

    Citation
    Montévil, Maël, and Ana M. Soto. 2023. “Modeling Organogenesis from Biological First Principles.” In Organization in Biology, edited by Matteo Mossio, 263–83. History, Philosophy and Theory of the Life Sciences 33. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-38968-9_12
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  11. Normativité et infidélités du milieu : Actualités biologiques de canguilhem

    Normativité et infidélités du milieu : Actualités biologiques de canguilhem

    La philosophie et ses dehors


    Quelques remarques sur la pertinence de la philosophie de Canguilhem sur les enjeux contemporains, de la medecine par la preuve à la disruption des organisations biologiques.

    Citation
    Montévil, Maël. 2023. “Normativité et Infidélités Du Milieu : Actualités Biologiques de Canguilhem.” In La Philosophie et Ses Dehors. Centre Lauragais d’Études Scientifiques
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  12. Conceptual and theoretical specifications for accuracy in medicine: Philosophical perspectives from biology to healthcare

    Conceptual and theoretical specifications for accuracy in medicine: Philosophical perspectives from biology to healthcare

    Personalized medicine in the making: Philosophical perspectives from biology to healthcare


    We question some aspects of medicine from the perspective of theoretical biology, on the one hand, and the technological and social dimension of health and disease on the other hand.

    Abstract

    Technological developments in genomics and other -omics originated the idea that precise measurements would lead to better therapeutic strategies. However, precision does not entail accuracy. Scientific accuracy requires a theoretical framework to understand the meaning of measurements, the nature of causal relationships, and potential intrinsic limitations of knowledge. For example, a precise measurement of initial positions in classical mechanics is useless without initial velocities; it is not an accurate measurement of the initial condition. Conceptual and theoretical accuracy is required for precision to lead to the progress of knowledge and rationality in action. In the search for accuracy in medicine, we first outline our results on a theory of organisms. Biology is distinct from physics and requires a specific epistemology. In particular, we develop the meaning of biological measurements and emphasize that variability and historicity are fundamental notions. However, medicine is not just biology; we articulate the historicity of biological norms that stems from evolution and the idea that patients and groups of patients generate new norms to overcome pathological situations. Patients then play an active role, in line with the philosophy of Georges Canguilhem. We argue that taking this dimension of medicine into account is critical for theoretical accuracy.

    Keywords: Normativity, Organization, Personalized Medicine, Technology, theoretical biology

    Citation
    Montévil, Maël. 2022. “Conceptual and Theoretical Specifications for Accuracy in Medicine: Philosophical Perspectives from Biology to Healthcare.” In Personalized Medicine in the Making: Philosophical Perspectives from Biology to Healthcare, edited by Marta Bertolaso, 47–62. Human Perspectives in Health Sciences and Technology Series, v. 3. Cham: Springer International Publishing AG. https://doi.org/10.1007/978-3-030-74804-3_3
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  13. Anthropocene, exosomatization and negentropy

    Anthropocene, exosomatization and negentropy

    On transition : In response to antonio guterres


    After precursors such as Georgescu-Roegen, we maintain that political economy in the Anthropocene is a challenge that requires a fundamental reconsideration of epistemology.

    Abstract

    The industrial economy took shape between the late eighteenth century and the nineteenth century, initially in Western Europe and then in North America. Besides technical production, it involves technological production – the integration of sciences in order to produce indus-trial goods –, to the strict extent that, as Marx showed, capitalism makes knowledge and its economic valorization its primary element. <br> Newton’s physics and the metaphysics that goes with it originated the epistemic (in Michel Foucault’s sense) and epistemological (in Gaston Bachelard’s sense) framework of this great transformation. In this transformation, otium (productive leisure time) submits to negotium (worldly affairs, business). All along, mathematics has been applied with ever more powerful and performative calculating machines. <br> After precursors such as Nicholas Georgescu-Roegen, himself inspired by Alfred Lotka, we maintain that political economy in what is now called the Anthropocene (whose features were delineated by Vladimir Vernadsky in 1926) is a challenge that requires a fundamental reconsideration of these epistemic frameworks and epistemological frameworks. With Dar-win, living beings became part of a historical process of becoming. In humans, knowledge is a performative part of this process that shapes and reshapes lifestyles in order to tame the im-pact of technical novelties.

    Citation
    Montévil, Maël, Bernard Stiegler, Giuseppe Longo, Ana M. Soto, and Carlos Sonnenschein. 2020. “Anthropocene, Exosomatization and Negentropy.” In On Transition : In Response to Antonio Guterres. https://internation.world/
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  14. A primer on mathematical modeling in the study of organisms and their parts

    A primer on mathematical modeling in the study of organisms and their parts

    Systems biology


    How do mathematical models convey meaning? What is required to build a model? An introduction for biologists and philosophers.

    Abstract

    Mathematical modeling is a very powerful tool for understanding natural phenomena. Such a tool carries its own assumptions and should always be used critically. In this chapter, we highlight the key ingredients and steps of modeling and focus on their biological interpretation. In particular, we discuss the role of theoretical principles in writing models. We also highlight the meaning and interpretation of equations. The main aim of this chapter is to facilitate the interaction between biologists and mathematical modelers. We focus on the case of cell proliferation and motility in the context of multicellular organisms.

    Keywords: Equations, Mathematical modeling, Parameters, Proliferation, Theory

    Citation
    Montévil, Maël. 2018. “A Primer on Mathematical Modeling in the Study of Organisms and Their Parts.” In Systems Biology, edited by Mariano Bizzarri, 41–55. Methods in Molecular Biology. New York, NY: Springer New York. https://doi.org/10.1007/978-1-4939-7456-6_4
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  15. Comparing symmetries in models and simulations

    Comparing symmetries in models and simulations

    Springer handbook of model-based science


    We distinguish mathematical modeling, computer implementations of these models and purely computational approaches by their symmetries and by randomness.

    Abstract

    Computer simulations brought remarkable novelties to knowledge construction. In this chapter, we first distinguish between mathematical modeling, computer implementations of these models and purely computational approaches. In all three cases, different answers are provided to the questions the observer may have concerning the processes under investigation. These differences will be highlighted by looking at the different theoretical symmetries of each frame. In the latter case, the peculiarities of agent-based or object oriented languages allow to discuss the role of phase spaces in mathematical analyses of physical versus biological dynamics. Symmetry breaking and randomness are finally correlated in the various contexts where they may be observed.

    Keywords: Phase Space, Symmetry Breaking, Chaotic Dynamic, Object Oriented Programming, Genetically Modify Organism

    Citation
    Longo, G., and Maël Montévil. 2018. “Comparing Symmetries in Models and Simulations.” In Springer Handbook of Model-Based Science, edited by M. Dorato, L. Magnani, and T. Bertolotti, 843–56. Springer International Publishing. https://doi.org/10.1007/978-3-319-30526-4
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  16. From the century of the gene to that of the organism: Introduction to new theoretical perspectives: Cerisy SVSI (conference)

    From the century of the gene to that of the organism: Introduction to new theoretical perspectives: Cerisy SVSI (conference)

    Life sciences, information sciences


    Our group proposes three main principles for a theory of organisms, namely: the default state, the principle of variation and the principle of organization.

    Abstract

    Summary This chapter briefly presents and describes the three main principles that the group proposes for a theory of organisms, namely: the default state, proliferation with variation and motility, the principle of variation and the principle of organization. It is crucial to critique the philosophical and theoretical position on which the biological research feeding into the program is based and which has dominated biomedical research for the last 70 years. Physical theories are founded on stable mathematical structures, based onregularities and especially on theoretical symmetries. At the time of cell theory formulation and still today, cell theory plays a federating role between evolution biology and organism biology. Finally, analysis of the differences between the physics of inanimate and living matter leads to the proposal of three principles that provide aviable perspective for the construction of a necessary theory of organisms.

    Keywords: cell theory, evolution biology, mathematical structures, organism biology, philosophical position, physical theories, theoretical symmetries

    Citation
    Montévil, Maël, Giuseppe Longo, and Ana M. Soto. 2018. “From the Century of the Gene to That of the Organism: Introduction to New Theoretical Perspectives: Cerisy SVSI (Conference).” In Life Sciences, Information Sciences, edited by T. Gaudin, D. Lacroix, M.‐C. Maurel, and J.‐C. Pomerol, 81–97. Information Systems, Web and Pervasive Computing Series. London: John Wiley & Sons, Ltd. https://doi.org/10.1002/9781119452713.ch9
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  17. Big data and biological knowledge

    Big data and biological knowledge

    Predictability and the unpredictable. Life, evolution and behaviour


    Can big data replace theoretical thinking? How should these technics be used? A critical discussion on the use of big data in biology.

    Abstract

    Some authors assert that the analysis of huge databases could replace the scientific method. On the contrary, we argue that the best way to make these new technologies bear fruits is to frame them with theories concerning the phenomena of interest. Such theories hint to the observable that should be taken into account and the mathematical structures that may link them. In biology, we argue that the community urgently needs an overarching theory of organisms that would provide a precise framework to understand lifecycles. Among other benefits, such a theory should make explicit what we can and cannot predict in principle.

    Keywords: Big Data, biological variation, cancer biology, knowledge, theory

    Citation
    Montévil, Maël, and G. Longo. 2018. “Big Data and Biological Knowledge.” In Predictability and the Unpredictable. Life, Evolution and Behaviour, edited by Giulia Frezza and David Ceccarelli, 133–44. Roma: CNR Edizioni
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  18. Repetition and reversibility in evolution: Theoretical population genetics: Philosophical perspectives of time in natural sciences

    Repetition and reversibility in evolution: Theoretical population genetics: Philosophical perspectives of time in natural sciences

    Time of nature and the nature of time: Philosophical perspectives of time in natural sciences


    We analyze repetitiveness, reversibility and irreversibility in theoretical population genetics and disentangle concepts that are often confused.

    Abstract

    Repetitiveness and reversibility have long been considered as characteristic features of scientific knowledge. In theoretical population genetics, repetitiveness is illustrated by a number of genetic equilibria realized under specific conditions. Since these equilibria are maintained despite a continual flux of changes in the course of generations (reshuffling of genes, reproduction…), it can legitimately be said that population genetics reveals important properties of invariance through transformation. Time-reversibility is a more controversial subject. Here, the parallel with classical mechanics is much weaker. Time-reversibility is unquestionable in some stochastic models, but at the cost of a special, probabilistic concept of reversibility. But it does not seem to be a property of the most basic deterministic models describing the dynamics of evolutionary change at the level of populations and genes. Furthermore, various meanings of “reversibility” are distinguished. In particular, time-reversibility should not be confused with retrodictability.

    Keywords: population genetics, repetition, retrodiction, reversibility

    Citation
    Gayon, Jean, and Maël Montévil. 2017. “Repetition and Reversibility in Evolution: Theoretical Population Genetics: Philosophical Perspectives of Time in Natural Sciences.” In Time of Nature and the Nature of Time: Philosophical Perspectives of Time in Natural Sciences, edited by Christophe Bouton and Philippe Huneman, 275–314. Springer eBook Collection. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-53725-2_13
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  19. Introduction to new perspectives in biology

    Introduction to new perspectives in biology

    Essays for the luca cardelli fest


    This note introduces work in Theoretical Biology in the book: Perspectives on Organisms: Biological Time, Symmetries and Singularities.

    Abstract

    This note introduces recent work in Theoretical Biology by borrowing from the Introduction (chapter 1) of the book by the authors: "Perspectives on Organisms: Biological Time, Symmetries and Singularities", Springer, 2014. The idea is to work towards a Theory of Organisms analogue and along the Theory of Evolution, where ontogenesis could be considered as part of phylogenesis. As a matter of fact, the latter is made out of "segments" of the first: phylogenesis is the "sum" of ontogenetic paths and they should be made intelligible by similar principles. To this aim, we look at ontogenesis from different perspectives. By this, we shed light on the unity of the organism from different points of view, yet constantly keeping that unity as a core invariant. The analysis of invariance, as the result of theoretical symmetries, and of symmetry changes, is a key theme of the approach in the book and in the discussion in this note.

    Citation
    Longo, G., and Maël Montévil. 2014. “Introduction to New Perspectives in Biology.” In Essays for the Luca Cardelli Fest, edited by Martin Abadi, Philippa Gardner, Andrew D. Gordon, and Radu Mardare, 187–201. MSR-TR-2014-104. Microsoft Research. http://research.microsoft.com/apps/pubs/default.aspx?id=226237
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  20. No entailing laws, but enablement in the evolution of the biosphere

    No entailing laws, but enablement in the evolution of the biosphere

    Proceedings of the 14th annual conference companion on genetic and evolutionary computation


    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.

    Abstract

    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

    Citation
    Longo, G., Maël Montévil, and S. Kauffman. 2012. “No Entailing Laws, but Enablement in the Evolution of the Biosphere.” In Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation, GECCO’12, 1379–92. GECCO ’12. New York, NY, USA: GECCO’12; ACM. https://doi.org/10.1145/2330784.2330946
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