Semantic information, autonomous agency and non-equilibrium statistical physics
暂无分享,去创建一个
[1] F. Schlögl,et al. Thermodynamic metric and stochastic measures , 1985 .
[2] D. Blackwell. Equivalent Comparisons of Experiments , 1953 .
[3] J. Wilson. Sex and Death: An Introduction to Philosophy of Biology , 2000 .
[4] O. Maroney. Generalizing Landauer's principle. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[5] M R DeWeese,et al. How to measure the information gained from one symbol. , 1999, Network.
[6] J. Waller,et al. Mind in Life: Biology, Phenomenology, and the Sciences of Mind , 2009 .
[7] M. Esposito,et al. Three faces of the second law. I. Master equation formulation. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[8] Christopher Jarzynski,et al. Work and information processing in a solvable model of Maxwell’s demon , 2012, Proceedings of the National Academy of Sciences.
[9] E. Schrödinger,et al. What is life? : the physical aspect of the living cell , 1946 .
[10] Thomas Martinetz,et al. An Information-Theoretic Approach for the Quantification of Relevance , 2001, ECAL.
[11] J. Collier. Intrinsic Information , 1990 .
[12] Randall D. Beer,et al. The Structure of Ontogenies in a Model Protocell , 2016, Artificial Life.
[13] Peter A. Corning,et al. Thermodynamics, information and life revisited, Part II: ‘Thermoeconomics’ and ‘Control information’ , 1998 .
[14] Pattie Maes,et al. Designing autonomous agents: Theory and practice from biology to engineering and back , 1990, Robotics Auton. Syst..
[15] S Turgut. Relations between entropies produced in nondeterministic thermodynamic processes. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[16] Daniel Polani,et al. Action and perception for spatiotemporal patterns , 2017, ECAL.
[17] David H. Wolpert,et al. Extending Landauer's Bound from Bit Erasure to Arbitrary Computation , 2015, 1508.05319.
[18] D. Lindley. On a Measure of the Information Provided by an Experiment , 1956 .
[19] M. Dufwenberg. Game theory. , 2011, Wiley interdisciplinary reviews. Cognitive science.
[20] Cliff Hooker,et al. Complexly Organised Dynamical Systems , 1999 .
[21] Seth Lloyd,et al. Information-theoretic approach to the study of control systems , 2001, physics/0104007.
[22] Henrik Sandberg,et al. Second-law-like inequalities with information and their interpretations , 2014, 1409.5351.
[23] Karl J. Friston,et al. Free-energy and the brain , 2007, Synthese.
[24] T. Sagawa,et al. Thermodynamics of information , 2015, Nature Physics.
[25] Jordan M. Horowitz,et al. Thermodynamic reversibility in feedback processes , 2011, 1104.0332.
[26] Henrik Sandberg,et al. Finite State Markov Decision Processes with Transfer Entropy Costs , 2017, ArXiv.
[27] Claude E. Shannon,et al. A Note on a Partial Ordering for Communication Channels , 1958, Information and Control.
[28] Masahito Ueda,et al. Generalized Jarzynski equality under nonequilibrium feedback control. , 2009, Physical review letters.
[29] Stuart Kauffman,et al. Molecular autonomous agents , 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[30] Jaakko Hintikka,et al. On Semantic Information , 1970 .
[31] Masahito Ueda,et al. Minimal energy cost for thermodynamic information processing: measurement and information erasure. , 2008, Physical review letters.
[32] Carlos Gershenson,et al. Living is Information Processing: From Molecules to Global Systems , 2012, Acta Biotheoretica.
[33] Carl T. Bergstrom,et al. The fitness value of information , 2005, Oikos.
[34] D. Dennett. Intentional systems in cognitive ethology: The “Panglossian paradigm” defended , 1983, Behavioral and Brain Sciences.
[35] Tom Ziemke,et al. Enactive artificial intelligence: Investigating the systemic organization of life and mind , 2009, Artif. Intell..
[36] David Balduzzi,et al. Detecting emergent processes in cellular automata with excess information , 2011, ECAL.
[37] Eckehard Olbrich,et al. Coarse-Graining and the Blackwell Order , 2017, Entropy.
[38] Naftali Tishby,et al. A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes , 2017, ArXiv.
[39] L. Steels. Evolving grounded communication for robots , 2003, Trends in Cognitive Sciences.
[40] Yoash Shapira,et al. Seeking the foundations of cognition in bacteria: From Schrödinger's negative entropy to latent information , 2006 .
[41] Suriyanarayanan Vaikuntanathan,et al. Nonequilibrium detailed fluctuation theorem for repeated discrete feedback. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[42] Alexei A. Sharov,et al. Functional Information: Towards Synthesis of Biosemiotics and Cybernetics , 2010, Entropy.
[43] E. D. Weinberger,et al. A theory of pragmatic information and its application to the quasi-species model of biological evolution. , 2001, Bio Systems.
[44] Daniel Polani,et al. Information Flows in Causal Networks , 2008, Adv. Complex Syst..
[45] Chrystopher L. Nehaniv,et al. Relevant information in optimized persistence vs. progeny strategies , 2006 .
[46] Kepa Ruiz-Mirazo,et al. Basic Autonomy as a Fundamental Step in the Synthesis of Life , 2004, Artificial Life.
[47] Christopher Jarzynski,et al. Maxwell's refrigerator: an exactly solvable model. , 2013, Physical review letters.
[48] J. Collier. INFORMATION IN BIOLOGICAL SYSTEMS , 2008 .
[49] B. Schmittmann,et al. Probability currents as principal characteristics in the statistical mechanics of non-equilibrium steady states , 2007 .
[50] M. Feito,et al. Thermodynamics of feedback controlled systems. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[51] T. Munakata,et al. Entropy production and fluctuation theorems under feedback control: the molecular refrigerator model revisited , 2012, 1202.0974.
[52] Jack A. Tuszynski,et al. Self-organization and entropy reduction in a living cell , 2013, Biosyst..
[53] J. P. Gould. Risk, stochastic preference, and the value of information , 1974 .
[54] D. Kamenski,et al. Symmetry and information content of chemical structures , 1976 .
[55] M. Esposito,et al. Three faces of the second law. II. Fokker-Planck formulation. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[56] Masahito Ueda,et al. Nonequilibrium thermodynamics of feedback control. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[57] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[58] Eckehard Olbrich,et al. Quantifying unique information , 2013, Entropy.
[59] Kenneth L. Artis. Design for a Brain , 1961 .
[60] H. Maturana,et al. Autopoiesis and Cognition : The Realization of the Living (Boston Studies in the Philosophy of Scie , 1980 .
[61] Nicholas Shea,et al. Representation in the genome and in other inheritance systems , 2007 .
[62] Hong Qian,et al. Fluctuation theorems for a molecular refrigerator. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[63] Xabier E. Barandiaran,et al. Defining Agency: Individuality, Normativity, Asymmetry, and Spatio-temporality in Action , 2009, Adapt. Behav..
[64] Stevan Harnad. The Symbol Grounding Problem , 1999, ArXiv.
[65] Gernot Schaller,et al. Stochastic thermodynamics for “Maxwell demon” feedbacks , 2012, 1204.5671.
[66] Touchette,et al. Information-theoretic limits of control , 1999, Physical review letters.
[67] J. D. Hess,et al. Risk and the gain from information , 1982 .
[68] Alvaro Moreno,et al. Agency in Natural and Artificial Systems , 2005, Artificial Life.
[69] Randall D. Beer,et al. Exploring the Space of Viable Configurations in a Model of Metabolism–Boundary Co-construction , 2016, Artificial Life.
[70] L. Brillouin. Life, thermodynamics, and cybernetics. , 1949, American scientist.
[71] Terrence W. Deacon,et al. Shannon - Boltzmann — Darwin: Redefining information (Part II) , 2008 .
[72] Susanne Still. Thermodynamic cost and benefit of data representations , 2017 .
[73] Tsachy Weissman,et al. Justification of logarithmic loss via the benefit of side information , 2014, ISIT.
[74] Joseph T. Lizier,et al. Measuring the Dynamics of Information Processing on a Local Scale in Time and Space , 2014 .
[75] Rajai Nasser,et al. A characterization of the Shannon ordering of communication channels , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[76] Gerlof Bouma,et al. Normalized (pointwise) mutual information in collocation extraction , 2009 .
[77] D. Sherrington. Stochastic Processes in Physics and Chemistry , 1983 .
[78] Masahito Ueda,et al. Second Law of Thermodynamics with Discrete Quantum Feedback Control , 2009 .
[79] A. Wehrl. General properties of entropy , 1978 .
[80] When is a bit worth much more than kT ln2 , 2017, 1705.09598.
[81] Mikhail Prokopenko,et al. On Thermodynamic Interpretation of Transfer Entropy , 2013, Entropy.
[82] Albert Y. Zomaya,et al. Local information transfer as a spatiotemporal filter for complex systems. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[83] Naftali Tishby,et al. The information bottleneck method , 2000, ArXiv.
[84] Christoph Adami,et al. Information theory in molecular biology , 2004, q-bio/0405004.
[85] Chris Melhuish,et al. Energetically autonomous robots: Food for thought , 2006, Auton. Robots.
[86] M. L. Rosinberg,et al. Feedback cooling, measurement errors, and entropy production , 2013 .
[87] Sean Alan Ali,et al. Thermodynamic aspects of information transfer in complex dynamical systems. , 2016, Physical review. E.
[88] M. Degroot. Uncertainty, Information, and Sequential Experiments , 1962 .
[89] C. Maes,et al. Life efficiency does not always increase with the dissipation rate , 2017, 1707.09614.
[90] Mikhail Prokopenko,et al. Transfer entropy in physical systems and the arrow of time. , 2016, Physical review. E.
[91] Paul M. B. Vitányi,et al. Meaningful Information , 2001, IEEE Transactions on Information Theory.
[92] Harold J. Morowitz,et al. Some order-disorder considerations in living systems , 1955 .
[93] Peter Godfrey-Smith,et al. Information in Biology , 2007 .
[94] Daniel Polani,et al. Meaningful Information, Sensor Evolution, and the Temporal Horizon of Embodied Organisms , 2002 .
[95] Jeremy L. England,et al. Minimum energetic cost to maintain a target nonequilibrium state. , 2017, Physical review. E.
[96] Peter A. Corning,et al. “Control information”: The missing element in Norbert Wiener’s cybernetic paradigm? , 2001 .
[97] E. Bauer. Die Definition des Lebewesens auf Grund seiner thermodynamischen Eigenschaften und die daraus folgenden biologischen Grundprinzipien , 1920, Naturwissenschaften.
[98] Claude E. Shannon,et al. The mathematical theory of communication , 1950 .
[99] M. Ponmurugan. Generalized detailed fluctuation theorem under nonequilibrium feedback control. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[100] R. A. Wentzell,et al. Hydrodynamic and Hydromagnetic Stability. By S. CHANDRASEKHAR. Clarendon Press: Oxford University Press, 1961. 652 pp. £5. 5s. , 1962, Journal of Fluid Mechanics.
[101] J. Pearl. Causality: Models, Reasoning and Inference , 2000 .
[102] Daniel Polani,et al. Information: Currency of life? , 2009, HFSP journal.
[103] Eckehard Olbrich,et al. The information theory of individuality , 2014, Theory in Biosciences.
[104] H. Atlan. Self creation of meaning , 1987 .
[105] Daniel Polani,et al. Towards information based spatiotemporal patterns as a foundation for agent representation in dynamical systems , 2016, ALIFE.
[106] Rajai Nasser,et al. On the input-degradedness and input-equivalence between channels , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[107] J Barham,et al. A dynamical model of the meaning of information. , 1996, Bio Systems.
[108] David Wolpert,et al. The thermodynamic efficiency of computations made in cells across the range of life , 2017, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[109] Chrystopher L. Nehaniv. Meaning for observers and agents , 1999, Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014).
[110] Armen E. Allahverdyan,et al. Thermodynamic efficiency of information and heat flow , 2009, 0907.3320.
[111] Xabier E. Barandiaran,et al. Quantifying normative behaviour and precariousness in adaptive agency , 2011, ECAL.
[112] D. Krakauer. Darwinian demons, evolutionary complexity, and information maximization. , 2011, Chaos.
[113] A. Moreno,et al. An Organizational Account of Biological Functions , 2009, The British Journal for the Philosophy of Science.
[114] Stanley J. Rosenschein,et al. A dynamical systems perspective on agent-environment interaction , 1996 .
[115] Gerhard Schlosser,et al. Self-re-Production and Functionality , 1998, Synthese.
[116] Peter H. Salus,et al. Language, Thought, and Other Biological Categories: New Foundations for Realism , 1987 .
[117] E. D. Paolo,et al. Autopoiesis, Adaptivity, Teleology, Agency , 2005 .
[118] J. Neumann,et al. Theory of games and economic behavior , 1945, 100 Years of Math Milestones.
[119] J. Koski,et al. Experimental observation of the role of mutual information in the nonequilibrium dynamics of a Maxwell demon. , 2014, Physical review letters.
[120] Luciano Floridi,et al. Semantic conceptions of information , 2005 .
[121] Jordan M. Horowitz,et al. Thermodynamics with Continuous Information Flow , 2014, 1402.3276.
[122] E. Thompson,et al. Making Sense of Sense-Making: Reflections on Enactive and Extended Mind Theories , 2009 .
[123] Udo Seifert,et al. An autonomous and reversible Maxwell's demon , 2013 .
[124] S. J. Kline,et al. Thermodynamics, information and life revisited, Part I: ‘To be or entropy’ , 1998 .
[125] U. Seifert. Stochastic thermodynamics, fluctuation theorems and molecular machines , 2012, Reports on progress in physics. Physical Society.
[126] Massimiliano Esposito,et al. Second law and Landauer principle far from equilibrium , 2011, 1104.5165.
[127] E. D. Schneider,et al. Life as a manifestation of the second law of thermodynamics , 1994 .
[128] Lauren M. Huyett,et al. Closed-Loop Artificial Pancreas Systems: Engineering the Algorithms , 2014, Diabetes Care.
[129] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[130] B. Brookes,et al. Biological information , 1974, Nature.
[131] J. Horowitz. Multipartite information flow for multiple Maxwell demons , 2015, 1501.05549.
[132] Sosuke Ito,et al. Information thermodynamics on causal networks. , 2013, Physical review letters.
[133] Measure of the violation of the detailed balance criterion: a possible definition of a "distance" from equilibrium. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[134] Kim Sterelny,et al. Sex and Death. An Introduction to Philosophy of Biology (M. Matthen) , 1999 .
[135] T. Sagawa. Thermodynamic and logical reversibilities revisited , 2013, 1311.1886.
[136] James H. Moor,et al. Knowledge and the Flow of Information. , 1982 .
[137] A. Glenberg,et al. Symbol Grounding and Meaning: A Comparison of High-Dimensional and Embodied Theories of Meaning , 2000 .
[138] C. Rovelli. Meaning and Intentionality = Information + Evolution , 2018 .
[139] Udo Seifert,et al. Sensory capacity: An information theoretical measure of the performance of a sensor. , 2015, Physical review. E.
[140] Terrence W. Deacon,et al. Information and the Nature of Reality: What is missing from theories of information? , 2010 .
[141] William P. Alston,et al. Knowledge and the Flow of Information , 1985 .
[142] Gábor Elek,et al. The living matter according to Ervin Bauer (1890-1938), (on the 75th anniversary of his tragic death) (History). , 2013, Acta Physiologica Hungarica.
[143] Naftali Tishby,et al. The Information Bottleneck Revisited or How to Choose a Good Distortion Measure , 2007, 2007 IEEE International Symposium on Information Theory.
[144] Nathaniel Virgo,et al. Life and Its Close Relatives , 2009, ECAL.
[145] E. Jablonka. Information: Its Interpretation, Its Inheritance, and Its Sharing , 2002, Philosophia Scientiæ.
[146] Schreiber,et al. Measuring information transfer , 2000, Physical review letters.
[147] Mikhail Prokopenko,et al. Transfer entropy in continuous time, with applications to jump and neural spiking processes , 2016, Physical review. E.