On Markov blankets and hierarchical self-organisation
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Adeel Razi | Karl J. Friston | Thomas Parr | Karl Friston | Ensor Rafael Palacios | Michael D. Kirchhoff | Michael Kirchhoff | Thomas Parr | A. Razi | E. Palacios | Adeel Razi
[1] Charles M. Bishop,et al. Variational Message Passing , 2005, J. Mach. Learn. Res..
[2] Marina Bosch,et al. Applications Of Centre Manifold Theory , 2016 .
[3] Harriet Finne-Soveri,et al. Feasibility and baseline findings of an educational intervention in a randomized trial to optimize drug treatment among residents in assisted living facilities , 2014 .
[4] Alan S. Perelson,et al. Self-Organization in Nonequilibrium Systems. From Dissipative Structures to Order Through Fluctuations.G. Nicolis , I. Prigogine , 1978 .
[5] Humberto R. Maturana,et al. The organization of the living: A theory of the living organization , 1975 .
[6] Karl J. Friston. Life as we know it , 2013, Journal of The Royal Society Interface.
[7] Karl J. Friston,et al. Cognitive Dynamics: From Attractors to Active Inference , 2014, Proceedings of the IEEE.
[8] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[9] Karl J. Friston,et al. Action and behavior: a free-energy formulation , 2010, Biological Cybernetics.
[10] M. N. Bera,et al. Thermodynamics from Information , 2018, 1805.10282.
[11] Hermann Haken,et al. Synergetics: An Introduction , 1983 .
[12] M P Young,et al. Hierarchical organization of macaque and cat cortical sensory systems explored with a novel network processor. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[13] K. Cheng. Theory of Superconductivity , 1948, Nature.
[14] André Elisseeff,et al. Using Markov Blankets for Causal Structure Learning , 2008, J. Mach. Learn. Res..
[15] Michael Levin,et al. Synchronization of Bioelectric Oscillations in Networks of Nonexcitable Cells: From Single-Cell to Multicellular States. , 2019, The journal of physical chemistry. B.
[16] H. Haken,et al. Intentionality in non-equilibrium systems? The functional aspects of self-organized pattern formation , 2007 .
[17] H. Maturana,et al. Autopoiesis: the organization of living systems, its characterization and a model. , 1974, Currents in modern biology.
[18] Jeremy L. England,et al. Statistical physics of self-replication. , 2012, The Journal of chemical physics.
[19] Takayuki Ito,et al. Holonic Multiagent Simulation of Complex Adaptive Systems , 2016, PAAMS.
[20] A. Clark. How to Knit Your Own Markov Blanket: Resisting the Second Law with Metamorphic Minds , 2017 .
[21] Gennaro Auletta,et al. A Paradigm Shift in Biology? , 2010, Inf..
[22] Yuhong Yang,et al. Information Theory, Inference, and Learning Algorithms , 2005 .
[23] Randall D. Beer,et al. The Cognitive Domain of a Glider in the Game of Life , 2014, Artificial Life.
[24] J. Hohwy. The self-evidencing brain , 2016 .
[25] George F. R. Ellis,et al. Top-down causation: an integrating theme within and across the sciences? , 2012, Interface Focus.
[26] S. Frank. Natural selection. V. How to read the fundamental equations of evolutionary change in terms of information theory , 2012, Journal of evolutionary biology.
[27] Karl J. Friston,et al. Answering Schrödinger's question: A free-energy formulation , 2017, Physics of life reviews.
[28] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[29] Karl J. Friston,et al. Morphogenesis as Bayesian inference: A variational approach to pattern formation and control in complex biological systems. , 2020, Physics of life reviews.
[30] W. Ashby,et al. Every Good Regulator of a System Must Be a Model of That System , 1970 .
[31] Karl J. Friston,et al. A Hierarchy of Time-Scales and the Brain , 2008, PLoS Comput. Biol..
[32] H. Crauel,et al. Attractors for random dynamical systems , 1994 .
[33] R. Landauer,et al. Irreversibility and heat generation in the computing process , 1961, IBM J. Res. Dev..
[34] Ludovico Cademartiri,et al. Using shape for self-assembly , 2012, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[35] F. Schwabl,et al. Phase Transitions, Scale Invariance, Renormalization Group Theory, and Percolation , 2002 .
[36] Stuart A. Kauffman,et al. ORIGINS OF ORDER , 2019, Origins of Order.
[37] Karl J. Friston,et al. Life and Understanding: The Origins of “Understanding” in Self-Organizing Nervous Systems , 2016, Front. Syst. Neurosci..
[38] Humberto R. Maturana,et al. The Organization of the Living , 1999 .
[39] Tetsuya Tabata,et al. Morphogens, their identification and regulation , 2004, Development.
[40] Debra J. Searles,et al. The Fluctuation Theorem , 2002 .
[41] J. Fincham,et al. At Home in the Universe: the Search for Laws of Complexity . By Stuart Kauffman. Viking 1995. viii + 321 pages. Hard cover. Price £20. ISBN 0 670 84735 6. , 1996 .
[42] Karl J. Friston,et al. Active Inference: A Process Theory , 2017, Neural Computation.
[43] Karl J. Friston,et al. Generalised Filtering , 2010 .
[44] Hans Crauel,et al. Global random attractors are uniquely determined by attracting deterministic compact sets , 1999 .
[45] Humberto Maturana Romesín. The Organization of the Living: A Theory of the Living Organization , 1975, Int. J. Hum. Comput. Stud..
[46] S. Kauffman. At Home in the Universe: The Search for the Laws of Self-Organization and Complexity , 1995 .
[47] Diana M. Mitrea,et al. Phase separation in biology; functional organization of a higher order , 2016, Cell Communication and Signaling.
[48] Nathaniel Virgo,et al. The Role of the Spatial Boundary in Autopoiesis , 2009, ECAL.
[49] P. Ao. Global view of bionetwork dynamics: adaptive landscape. , 2009, Journal of genetics and genomics = Yi chuan xue bao.
[50] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .
[51] G. Whitesides,et al. Self-Assembly at All Scales , 2002, Science.
[52] Brian Charlesworth. Kauffman's ‘origins of order’. Making evolution seem complicated , 1995 .
[53] Andy Clark,et al. How to Knit Your Own Markov Blanket , 2017 .
[54] James Briscoe,et al. Gene Regulatory Logic for Reading the Sonic Hedgehog Signaling Gradient in the Vertebrate Neural Tube , 2012, Cell.
[55] Mirko Farina. Supersizing the Mind: Embodiment, Action and Cognitive Extension. , 2010 .
[56] Ralf Der,et al. Predictive information and explorative behavior of autonomous robots , 2008 .
[57] Carlos Gershenson,et al. Guiding the self-organization of random Boolean networks , 2010, Theory in Biosciences.
[58] Christopher L. Buckley,et al. A Probabilistic Interpretation of PID Controllers Using Active Inference , 2018, SAB.
[59] Juan Camilo Ramírez,et al. Can natural selection encode Bayesian priors? , 2017, Journal of theoretical biology.
[60] Micah Allen. The foundation: Mechanism, prediction, and falsification in Bayesian enactivism: Comment on "Answering Schrödinger's question: A free-energy formulation" by Maxwell James Désormeau Ramstead et al. , 2018, Physics of life reviews.
[61] C. Jarzynski. Nonequilibrium Equality for Free Energy Differences , 1996, cond-mat/9610209.
[62] U. Seifert. Stochastic thermodynamics, fluctuation theorems and molecular machines , 2012, Reports on progress in physics. Physical Society.
[63] Erwin Frey,et al. Self-organization principles of intracellular pattern formation , 2018, Philosophical Transactions of the Royal Society B: Biological Sciences.
[64] Wilson S. Geisler,et al. A Bayesian approach to the evolution of perceptual and cognitive systems , 2003, Cogn. Sci..
[65] E. Schrödinger. What is life? : the physical aspect of the living cell , 1944 .
[66] David Botstein,et al. Diversity, topographic differentiation, and positional memory in human fibroblasts , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[67] N. Fytas,et al. Dynamic phase transition of the Blume-Capel model in an oscillating magnetic field. , 2017, Physical review. E.
[68] Charles H. Bennett,et al. Notes on Landauer's Principle, Reversible Computation, and Maxwell's Demon , 2002, physics/0210005.
[69] J. Fuster. Upper processing stages of the perception–action cycle , 2004, Trends in Cognitive Sciences.
[70] M. Tribus. Information Theory as the Basis for Thermostatics and Thermodynamics , 1961 .
[71] Karl J. Friston,et al. Free Energy, Value, and Attractors , 2011, Comput. Math. Methods Medicine.
[72] Viktor K. Jirsa,et al. Time Scale Hierarchies in the Functional Organization of Complex Behaviors , 2011, PLoS Comput. Biol..
[73] Jun Tani,et al. Self-Organization of Spatio-Temporal Hierarchy via Learning of Dynamic Visual Image Patterns on Action Sequences , 2015, PloS one.
[74] Ken Sekimoto,et al. Langevin Equation and Thermodynamics , 1998 .
[75] Karl J. Friston. The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.
[76] Gennaro Auletta,et al. Information and Metabolism in Bacterial Chemotaxis , 2013, Entropy.
[77] N. Virgo. Thermodynamics and the structure of living systems , 2011 .
[78] Kate Jeffery,et al. On the Statistical Mechanics of Life: Schrödinger Revisited , 2019, Entropy.
[79] John O. Campbell. Universal Darwinism As a Process of Bayesian Inference , 2016, Front. Syst. Neurosci..
[80] V. Araújo. Random Dynamical Systems , 2006, math/0608162.
[81] Karl J. Friston. A free energy principle for a particular physics , 2019, 1906.10184.
[82] S. Alberti. Phase separation in biology , 2017, Current Biology.
[83] Karl J. Friston,et al. The Markov blankets of life: autonomy, active inference and the free energy principle , 2018, Journal of The Royal Society Interface.
[84] T. D. Frank,et al. Stochastic feedback, nonlinear families of Markov processes, and nonlinear Fokker–Planck equations , 2004 .
[85] Jeffrey K. Noel,et al. The Dominant Folding Route Minimizes Backbone Distortion in SH3 , 2012, PLoS Comput. Biol..
[86] Karl J. Friston,et al. Knowing one's place: a free-energy approach to pattern regulation , 2015, Journal of The Royal Society Interface.