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The Markov blankets of life: autonomy, active inference and the free energy principle
Author(s) -
Michael D. Kirchhoff,
Thomas Parr,
Ensor Rafael Palacios,
Karl Friston,
Julian Kiverstein
Publication year - 2018
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2017.0792
Subject(s) - markov chain , markov blanket , computer science , living systems , markov model , markov process , free energy principle , corollary , markov property , inference , autonomous system (mathematics) , theoretical computer science , artificial intelligence , mathematics , machine learning , pure mathematics , statistics
This work addresses the autonomous organization of biological systems. It does so by considering the boundaries of biological systems, from individual cells to Home sapiens , in terms of the presence of Markov blankets under the active inference scheme-a corollary of the free energy principle. A Markov blanket defines the boundaries of a system in a statistical sense. Here we consider how a collective of Markov blankets can self-assemble into a global system that itself has a Markov blanket; thereby providing an illustration of how autonomous systems can be understood as having layers of nested and self-sustaining boundaries. This allows us to show that: (i) any living system is a Markov blanketed system and (ii) the boundaries of such systems need not be co-extensive with the biophysical boundaries of a living organism. In other words, autonomous systems are hierarchically composed of Markov blankets of Markov blankets-all the way down to individual cells, all the way up to you and me, and all the way out to include elements of the local environment.

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