SELF-ORGANIZATION, AUTOPOIESIS, FREE-ENERGY PRINCIPLE AND AUTONOMY

The aim of this paper is to extend the discussion on the free-energy principle (FEP), from the predictive coding theory, which is an explanatory theory of the brain, to the problem of autonomy of self-organizing living systems. From the point of view of self-organization of living systems, FEP implies that biological organisms, due to the systemic coupling with the world, are characterized by an ongoing flow of exchanging information and energy with the environment, which has to be controlled in order to maintain the integrity of the organism. In terms of dynamical system theory, this means that living systems have a dynamic state space, which can be configured by the way they control the free-energy. In the process of controlling their free-energy and modeling of the state space, an important role is played by the anticipatory structures of the organisms, which would reduce the external surprises and adjust the behavior of the organism by anticipating the changes in the environment. In this way, in the dynamic state space of a living system new behavioral patterns emerge enabling new degrees of freedom at the level of the whole. Thus, my aim in this article is to explain how FEP, as a principle of self-organization of living system, contributes to the configuring of the state space of an organism and the emergence of new degrees of freedom, both important in the process of gaining and maintaining the autonomy of a living organism.

[1]  F. Keijzer Representation and Behavior , 2001 .

[2]  Leonardo Bich,et al.  What makes biological organisation teleological? , 2017, Synthese.

[3]  C. Fuchs Self-Organizing System , 2007 .

[4]  Karl J. Friston,et al.  Free Energy, Value, and Attractors , 2011, Comput. Math. Methods Medicine.

[5]  Karl J. Friston The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.

[6]  Karl J. Friston Embodied Inference : or “ I think therefore I am , if I am what I think ” , 2010 .

[7]  Giovanni Pezzulo,et al.  Coordinating with the Future: The Anticipatory Nature of Representation , 2008, Minds and Machines.

[8]  Kepa Ruiz-Mirazo,et al.  Basic Autonomy as a Fundamental Step in the Synthesis of Life , 2004, Artificial Life.

[9]  Michael D. Kirchhoff Autopoiesis, free energy, and the life–mind continuity thesis , 2016, Synthese.

[10]  P. Sterling Allostasis: A model of predictive regulation , 2012, Physiology & Behavior.

[11]  John Collier,et al.  Self-organization, Individuation and Identity , 2004, Revue internationale de philosophie.

[12]  Erik Rietveld,et al.  Self-organization, free energy minimization, and optimal grip on a field of affordances , 2014, Front. Hum. Neurosci..

[13]  P. Lyon The cognitive cell: bacterial behavior reconsidered , 2015, Front. Microbiol..

[14]  Alicia Juarrero What does the closure of context-sensitive constraints mean for determinism, autonomy, self-determination, and agency? , 2015, Progress in biophysics and molecular biology.

[15]  Guy Theraulaz,et al.  Self-Organization in Biological Systems , 2001, Princeton studies in complexity.

[16]  Erik Rietveld,et al.  The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective , 2016, Synthese.

[17]  Howard Hunt Pattee,et al.  Instabilities and Information in Biological Self-Organization , 2012 .

[18]  C. Nelson Dynamics in Action: Intentional Behavior as a Complex System , 2006 .

[19]  Tom Ziemke,et al.  Enactive artificial intelligence: Investigating the systemic organization of life and mind , 2009, Artif. Intell..

[20]  Karl J. Friston Life as we know it , 2013, Journal of The Royal Society Interface.

[21]  A. Moreno,et al.  Biological Autonomy: A Philosophical and Theoretical Enquiry , 2015 .

[22]  Cliff Hooker,et al.  On the Import of Constraints in Complex Dynamical Systems , 2012, Foundations of Science.

[23]  Grégoire Nicolis,et al.  Self-Organization in nonequilibrium systems , 1977 .

[24]  Conscious Emotion in a Dynamic System: How I Can Know How I Feel , 2000 .

[25]  E. D. Paolo,et al.  Autopoiesis, Adaptivity, Teleology, Agency , 2005 .

[26]  Xabier E. Barandiaran,et al.  Adaptivity: From Metabolism to Behavior , 2008, Adapt. Behav..

[27]  Ezequiel A. Di Paolo,et al.  Chapter 3 Overcoming Autopoiesis: An Enactive Detour on the Way from Life to Society , 2010 .

[28]  G. Ermentrout Dynamic patterns: The self-organization of brain and behavior , 1997 .

[29]  H. Haken Synergetics: an Introduction, Nonequilibrium Phase Transitions and Self-organization in Physics, Chemistry, and Biology , 1977 .

[30]  H. Maturana,et al.  Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .

[31]  Esther Thelen,et al.  Dynamic Systems Theories , 2007 .

[32]  J. Kelso,et al.  The Complementary Nature , 2006 .

[33]  Karl J. Friston Active inference and free energy. , 2013, The Behavioral and brain sciences.

[34]  Richard Menary Cognitive integration: mind and cognition unbounded , 2007 .

[35]  Karl J. Friston The free-energy principle: a rough guide to the brain? , 2009, Trends in Cognitive Sciences.

[36]  Jay Schulkin,et al.  Allostasis: a neural behavioral perspective , 2003, Hormones and Behavior.

[37]  Alvaro Moreno,et al.  Searching for the roots of autonomy: The natural and artificial paradigms revisited , 2000 .

[38]  D. Lewkowicz,et al.  A dynamic systems approach to the development of cognition and action. , 2007, Journal of cognitive neuroscience.

[39]  F. Varela Principles of biological autonomy , 1979 .

[40]  B. Leonardo Systems and Organizations: Theoretical Tools, Conceptual Distinctions and Epistemological Implications , 2016 .

[41]  Juarrero Alicia Intentions as Complex Dynamical Attractors Alicia Juarrero , 2010 .