Abstract
Most mathematical modeling in biology relies either implicitly or explicitly on the epistemology of physics. The underlying conception is that the historicity of biological objects would not matter to understand a situation here and now, or, at least, historicity would not impact the method of modeling. We analyze that it is not the case with concrete examples. Historicity forces a conceptual reconfiguration where equations no longer play a central role. We argue that all observations depend on objects defined by their historical origin instead of their relations as in physics. Therefore, we propose that biological variations and historicity come first, and regularities are constraints with limited validity in biology. Their proper theoretical and empirical use requires specific rationales.
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References
Bailly F, Longo G (2011) Mathematics and the natural sciences; The physical singularity of life. Imperial College Press, London. https://doi.org/10.1142/p774
Darwin C (1859) On the Origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. John Murray, London
De Saussure F (2011) Course in general linguistics. Columbia University Press, New York
Douady S, Couder Y (1996a) Phyllotaxis as a dynamical self organizing process part I: the spiral modes resulting from time-periodic iterations. J Theor Biol 178(3):255–273. https://doi.org/10.1006/jtbi.1996.0024
Douady S, Couder Y (1996b) Phyllotaxis as a dynamical self organizing process part ii: the spontaneous formation of a periodicity and the coexistence of spiral and whorled patterns. J Theor Biol 178(3):275–294. https://doi.org/10.1006/jtbi.1996.0025
Douady S, Couder Y (1996c) Phyllotaxis as a dynamical self organizing process part iii: the simulation of the transient regimes of ontogeny. J Theor Biol 178(3):295–312. https://doi.org/10.1006/jtbi.1996.0026
Felin T, Kauffman S, Koppl R, Longo G (2014) Economic opportunity and evolution: beyond landscapes and bounded rationality. Strateg Entrep J 8(4):269–282. https://doi.org/10.1002/sej.1184
Friederich S (2018) Fine-tuning. In: Zalta EN (ed) The stanford encyclopedia of philosophy. Metaphysics Research Lab, Stanford University, winter 2018 edition
Gheorghiu S, Kjelstrup, S, Pfeifer P, Coppens M-O (2005). Is the lung an optimal gas exchanger? In: Losa GA, Merlini D, Nonnenmacher TF, Weibel ER (eds) Fractals in biology and medicine, mathematics and biosciences in interaction. Birkhäuser, Basel, pp 31–42. ISBN 978-3-7643-7412-9. https://doi.org/10.1007/3-7643-7412-8_3
Gilbert SF, Epel D (2009) Ecological developmental biology: integrating epigenetics, medicine, and evolution. Sinauer Associates Sunderland
Godfrey-Smith P (1994) A modern history theory of functions. Noûs 28(3):344–362. https://doi.org/10.2307/2216063
Houle D, Pélabon C, Wagner GP, Hansen TF (2011) Measurement and meaning in biology. Q Rev Biol 86(1):3–34. https://doi.org/10.1086/658408
Kauffman SA (2019) A world beyond physics: the emergence and evolution of life. Oxford University Press, Oxford
Laland KN, Sterelny K, Odling-Smee J, Hoppitt W, Uller T (2011) Cause and effect in biology revisited: Is mayr’s proximate-ultimate dichotomy still useful? Science 334(6062):1512–1516. https://doi.org/10.1126/science.1210879
Lecointre G (2018) The Boxes and their Content: What to Do with Invariants in Biology? chapter 14. Wiley, pp 139–152. https://doi.org/10.1002/9781119452713.ch14
Lesne A, Victor J-M (2006) Chromatin fiber functional organization: some plausible models. Eur Phys J E Soft Matter 19(3):279–290. https://doi.org/10.1140/epje/i2005-10050-6
Longo G (2018) How future depends on past and rare events in systems of life. Found Sci 23(3):443–474. https://doi.org/10.1007/s10699-017-9535-x
Longo G, Montévil M (2011) From physics to biology by extending criticality and symmetry breakings. Progress Biophys Mol Biol 106(2):340–347. https://doi.org/10.1016/j.pbiomolbio.2011.03.005
Longo G, Montévil M(2014a) Perspectives on organisms: biological time, symmetries and singularities. Lecture notes in morphogenesis. Springer, Dordrecht. ISBN 978-3-642-35937-8. https://doi.org/10.1007/978-3-642-35938-5
Longo G, Montévil M(2014b) Scaling and scale symmetries in biological systems. In: Perspectives on organisms, lecture notes in morphogenesis. Springer, Berlin, pp 23–73. ISBN 978-3-642-35937-8. https://doi.org/10.1007/978-3-642-35938-5_2
Longo G, Montévil M (2017) Comparing symmetries in models and simulations. Springer, Berlin. https://doi.org/10.1007/978-3-319-30526-4
Longo G, Montévil M, Kauffman S (2012) No entailing laws, but enablement in the evolution of the biosphere. In: Genetic and evolutionary computation conference. GECCO’12, ACM, New York, NY, USA. https://doi.org/10.1145/2330784.2330946
Mauroy B, Filoche M, Weibel E, Sapoval B (2004) An optimal bronchial tree may be dangerous. Nature 427:633–636. https://doi.org/10.1038/nature02287
Mayr E (1961) Cause and effect in biology. Science 134(3489):1501–1506
Memmot J, Craze PG, Waser NM, Price MV (2007) Global warming and the disruption of plant-pollinator interactions. Ecol Lett 10(8):710–717. https://doi.org/10.1111/j.1461-0248.2007.01061.x
Miquel P-A, Hwang S-Y (2016) From physical to biological individuation. Prog Biophys Mol Biol 122(1):51–57. https://doi.org/10.1016/j.pbiomolbio.2016.07.002
Montévil M (2018) Possibility spaces and the notion of novelty: from music to biology. Synthese. https://doi.org/10.1007/s11229-017-1668-5
Montévil M (2019) Measurement in biology is methodized by theory. Biol Philos 34(3):35. https://doi.org/10.1007/s10539-019-9687-x
Montévil M, Mossio M (2015) Biological organisation as closure of constraints. J Theor Biol 372:179–191. https://doi.org/10.1016/j.jtbi.2015.02.029
Montévil M, Mossio M, Pocheville A, Longo G (2016) Theoretical principles for biology: variation. Prog Biophys Mol Biol 122(1):36–50. https://doi.org/10.1016/j.pbiomolbio.2016.08.005
Mora T, Bialek W (2011) Are biological systems poised at criticality? J Stat Phys 144:268–302. https://doi.org/10.1007/s10955-011-0229-4
Mossio M, Saborido C, Moreno A (2009) An organizational account of biological functions. Br J Philos Sci 60(4):813–841. https://doi.org/10.1093/bjps/axp036
Müller GB, Newman SA, Newman S, Schäfer K, Pradeu SIT (2003) Origination of organismal form: beyond the gene in developmental and evolutionary biology. MIT Press, Cambridge
Newman SA (2012) Physico-genetic determinants in the evolution of development. Science 338(6104):217–219. https://doi.org/10.1126/science.1222003
Newman SA (2019) Inherent forms and the evolution of evolution. J Exp Zool Part B Mol Dev Evol. https://doi.org/10.1002/jez.b.22895
Pocheville A (2010) What niche construction is (not)
Pocheville A (2019) A Darwinian dream: on time, levels, and processes in evolution. In: Laland KN, Uller T (eds) Evolutionary causation. Biological and philosophical reflections. Vienna series in theoretical biology. MIT Press, Cambridge
Sapoval B, Filoche M, Weibel ER (2001) Branched structures, acinus morphology and optimal design of mammalian lungs. In: Fleury V, Gouyet J-F, Léonetti M (eds) Branching in nature. Springer, Berlin, pp 225–242. https://doi.org/10.1007/978-3-662-06162-6_12
Soto AM, Longo, G, Noble D, Perret N, Montévil M, Sonnenschein C, et al (2016) From the century of the genome to the century of the organism: new theoretical approaches. Progress in biophysics and molecular biology, special issue, pp 1–82
Ulanowicz RE (2009) The dual nature of ecosystem dynamics. Ecol Model 220(16):1886–1892. https://doi.org/10.1016/j.ecolmodel.2009.04.015 Selected Papers from the Workshop on Emergence of Novelties, 9–16 October 2008, Pacina, Siena, Italy
West G, Brown J, Enquist B (1997) A general model for the origin of allometric scaling laws in biology. Science 276(5309):122–126. https://doi.org/10.1126/science.276.5309.122
West G, Brown J, Enquist B (1999) The fourth dimension of life: fractal geometry and allometric scaling of organisms. Science 284(5420):1677–1679. https://doi.org/10.1126/science.284.5420.1677
Zhu J, Zhang Y-T, Alber MS, Newman SA (2010) Bare bones pattern formation: a core regulatory network in varying geometries reproduces major features of vertebrate limb development and evolution. PLoS ONE 5(5):1–11. https://doi.org/10.1371/journal.pone.0010892
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Montévil, M. Historicity at the heart of biology. Theory Biosci. 141, 165–173 (2022). https://doi.org/10.1007/s12064-020-00320-8
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DOI: https://doi.org/10.1007/s12064-020-00320-8