Life as we know it

Journal of the Royal Society Interface - Tập 10 Số 86 - Trang 20130475 - 2013
Karl Friston1
1The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, Queen Square, London WC1N 3BG, UK

Tóm tắt

This paper presents a heuristic proof (and simulations of a primordial soup) suggesting that life—or biological self-organization—is an inevitable and emergent property of any (ergodic) random dynamical system that possesses a Markov blanket. This conclusion is based on the following arguments: if the coupling among an ensemble of dynamical systems is mediated by short-range forces, then the states of remote systems must be conditionally independent. These independencies induce a Markov blanket that separates internal and external states in a statistical sense. The existence of a Markov blanket means that internal states will appear to minimize a free energy functional of the states of their Markov blanket. Crucially, this is the same quantity that is optimized in Bayesian inference. Therefore, the internal states (and their blanket) will appear to engage in active Bayesian inference. In other words, they will appear to model—and act on—their world to preserve their functional and structural integrity, leading to homoeostasis and a simple form of autopoiesis.

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Tài liệu tham khảo

Schrödinger E, 1944, What is life?: the physical aspect of the living cell

10.1080/00221309.1947.9918144

10.1007/978-3-642-88338-5

10.1007/978-94-009-8947-4

Nicolis G, 1977, Self-organization in non-equilibrium systems

10.1016/S1673-8527(08)60093-4

10.1006/jtbi.2000.2106

10.1021/jp055592s

10.3390/info1010028

10.1016/j.plrev.2011.11.002

10.3390/e14112100

10.1155/2012/937860

10.1080/00207727008920220

10.1080/0026897031000085173

10.1103/PhysRevE.50.1645

10.1162/neco.1995.7.5.889

10.1098/rstb.1980.0090

Helmholtz H, 1866, Concerning the perceptions in general. In Treatise on physiological optics, 3

10.1146/annurev.psych.55.090902.142005

10.1364/JOSAA.20.001434

10.1016/j.jphysparis.2006.10.001

10.1140/epjb/e2008-00175-0

10.1162/089976601753195969

Tishby N, 2010, Perception–reason–action cycle: models, algorithms and systems, 1

10.1126/science.201.4356.579

10.1073/pnas.17.2.656

10.2307/2373052

Pearl J, 1988, Probabilistic reasoning in intelligent systems: networks of plausible inference

10.1007/BF01193705

10.1007/BF02505989

Frank TD, 2004, Nonlinear Fokker–Planck equations: fundamentals and applications. Springer Series in Synergetics

10.1088/0305-4470/37/3/L01

Yuan R Ma Y Yuan B& Ping A. 2010 Bridging engineering and physics: Lyapunov function as potential function. See http://arxiv.org/abs/1012.2721v1 [nlin.CD].

Beal MJ. 2003 Variational algorithms for approximate Bayesian inference. PhD thesis University College London.

Feynman RP, 1972, Statistical mechanics

10.1145/168304.168306

10.1080/01621459.1989.10478825

10.1214/aoms/1177729694

10.1007/BF00877522

10.1016/j.neuroscience.2008.03.050

10.1038/nrn2787

Barlow H, 1961, Sensory communication, 217

10.1146/annurev.ne.13.030190.001353

Jaynes ET, 1957, Information theory and statistical mechanics, Phys. Rev. Ser. II, 106, 620

10.1098/rstb.2005.1643

10.1016/j.ijpsycho.2005.12.008

10.1007/BF02691333

10.1098/rstb.1952.0012

Belousov BP. 1959 Периодически действующая реакция и ее механизм [Periodically acting reaction and its mechanism]. Сборнрефератов по радиационной медицине [Collection of Abstracts on Radiation Medicine] 145–147.

10.1063/1.3309017

10.1016/0167-2789(93)90006-M

10.1098/rstb.2005.1666

10.1103/PhysRevE.55.4029

10.1063/1.1512927

Huygens C, 1673, Horologium oscillatorium

Adams RA, 2012, Predictions not commands: active inference in the motor system, . Funct, 218, 611

10.1016/j.tics.2011.02.004

10.1103/PhysRevLett.90.054102

10.1038/nrmicro1493

10.1016/j.neuroimage.2011.03.062

10.1073/pnas.0501865102

10.3389/fpsyg.2012.00151