On the divide between animate and inanimate

Journal of Systems Chemistry - Tập 6 - Trang 1-3 - 2015
Arto Annila1,2,3, Erkki Kolehmainen4
1Department of Physics, FI-00014 University of Helsinki, Helsinki, Finland
2Institute of Biotechnology, FI-00014, University of Helsinki, Helsinki, Finland
3Department of Biosciences, FI-00014 University of Helsinki, Helsinki, Finland
4Department of Chemistry, FI-40014 University of Jyväskylä, Jyväskylä, Finland

Tóm tắt

Vitalism was abandoned already for a long time ago, yet the impression that animate beings differ in some fundamental way from inanimate objects continues to thrive. Here, we argue that scale free patterns, found throughout nature, present convincing evidence that this demarcation is only imaginary. Therefore, all systems ought to be regarded alike, i.e., all are consuming free energy in least time. This way evolutionary processes can be understood as a series of changes from one state to another, so that flows of energy themselves naturally select those ways and means, such as species and societies or gadgets and galaxies to consume free energy in the least time in quest of attaining thermodynamic balance in respective surroundings. This holistic worldview, albeit an accurate account of nature, was shelved soon after its advent at the turn of the 18th century, because the general tenet did not meet that time expectations of a deterministic law, but now it is time to reconsider the old universal imperative against observations rather than expectations.

Tài liệu tham khảo

Pascal R, Pross P. The nature and mathematical basis for material stability in the chemical and biological worlds. J Syst Chem. 2014;5:3. doi:10.1186/1759-2208-5-3. Kapteyn JC. Skew frequency curves in biology and statistics. Astronomical Laboratory, Noordhoff: Groningen; 1903. Pareto V. Manuale di economia politica (Manual of political economy). Milano: Società Editrice Libraria; 1906 [1971, translation by Page AN, Kelley AM]. Gaddum JH. Lognormal distributions. Nature. 1945;156:463–6. Zipf GK. Human behaviour and the principle of least effort. Reading, MA: Addison-Wesley; 1949. Barabási A-L, Albert R. Emergence of scaling in random networks. Science. 1999;286:509–12. Bejan A. Shape and structure, from engineering to nature. Cambridge, UK: Cambridge University Press; 2000. Sornette D. Critical Phenomena in Natural Sciences. Berlin: Springer; 2006. Clauset A, Shalizi CR, Newman MEJ. Power-law distributions in empirical data. SIAM Rev. 2009;51:661–703 (arXiv:0706.1062). Limpert E, Stahel WA, Abbt M. Log-normal distributions across the sciences: keys and clues. Bioscience. 2001;51:341–52. Newman MEJ. Power laws, Pareto distributions and Zipf's law. Contemp Phys. 2005;46:323–51. Mäkelä T, Annila A. Natural patterns of energy dispersal. Phys Life Rev. 2010;7:477–98. De Maupertuis P-LM. Les loix du mouvement et du repos déduites d’un principe metaphysique. Hist Acad Roy Sci Belleslett (1746), 267–294. Sharma V, Annila A. Natural process – Natural selection. Biophys Chem. 2007;127:123–8. Kaila VRI, Annila A. Natural selection for least action. Proc R Soc A. 2008;464:3055–70. Newton I. The Mathematical Principles of Natural Philosophy. Translated by Motte A; 1729. Carnot S. Reflections on the motive power of heat. Translated by Thurston RH. New York, NY: John Wiley & Sons; 1897. Annila A, Annila E. Why did life emerge? Int J Astrobiol. 2008;7:293–300. Annila A, Salthe S. Physical foundations of evolutionary theory. J Non-equilb Thermodyn. 2010;35:301–21. Annila A, Salthe S. On intractable tracks. Physics Essays. 2012;25:232–7. Sharma V, Kaila VRI, Annila A. Protein folding as an evolutionary process. Physica A. 2009;388:851–62.