Results for 'entropy'

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  1. Gravity, Entropy, and Cosmology: In Search of Clarity.David Wallace - 2010 - British Journal for the Philosophy of Science 61 (3):513-540.
    I discuss the statistical mechanics of gravitating systems and in particular its cosmological implications, and argue that many conventional views on this subject in the foundations of statistical mechanics embody significant confusion; I attempt to provide a clearer and more accurate account. In particular, I observe that (i) the role of gravity in entropy calculations must be distinguished from the entropy of gravity, that (ii) although gravitational collapse is entropy-increasing, this is not usually because the collapsing matter (...)
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  2.  1
    Entropy: Into the Greenhouse World.Jeremy Rifkin & Ted Howard - 1989 - Bantam.
    For the first time Entropy has been completely revised and updated to include a new subtitle which reflects the expanded focus on the greenhouse effect--the largest crisis ever to face mankind.
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  3. Entropy - A Guide for the Perplexed.Roman Frigg & Charlotte Werndl - 2011 - In Claus Beisbart & Stephan Hartmann (eds.), Probabilities in Physics. Oxford University Press. pp. 115-142.
    Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging from logic and statistics to biology and economics. However, a closer look reveals a complicated picture: entropy is defined differently in different contexts, and even within the same domain different notions of entropy are at work. Some of these are defined in terms of probabilities, others are not. The aim of this chapter is to arrive at an understanding of some of the (...)
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  4.  74
    Entropy in Evolution.John Collier - 1986 - Biology and Philosophy 1 (1):5-24.
    Daniel R. Brooks and E. O. Wiley have proposed a theory of evolution in which fitness is merely a rate determining factor. Evolution is driven by non-equilibrium processes which increase the entropy and information content of species together. Evolution can occur without environmental selection, since increased complexity and organization result from the likely capture at the species level of random variations produced at the chemical level. Speciation can occur as the result of variation within the species which decreases the (...)
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  5. Entropy and the Direction of Time.Jerzy Gołosz - 2021 - Entropy 23 (4):388.
    The paper tries to demonstrate that the process of the increase of entropy does not explain the asymmetry of time itself because it is unable to account for its fundamental asymmetries, that is, the asymmetry of traces (we have traces of the past and no traces of the future), the asymmetry of causation (we have an impact on future events with no possibility of having an impact on the past), and the asymmetry between the fixed past and the open (...)
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  6. Logical Entropy: Introduction to Classical and Quantum Logical Information Theory.David Ellerman - 2018 - Entropy 20 (9):679.
    Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, differences and distinguishability and is formalized using the distinctions of a partition. All the definitions of simple, joint, conditional and mutual entropy of Shannon information theory are derived by a uniform transformation from the corresponding definitions at the logical level. The purpose of this (...)
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  7.  77
    Entropy and Uncertainty.Teddy Seidenfeld - 1986 - Philosophy of Science 53 (4):467-491.
    This essay is, primarily, a discussion of four results about the principle of maximizing entropy (MAXENT) and its connections with Bayesian theory. Result 1 provides a restricted equivalence between the two: where the Bayesian model for MAXENT inference uses an "a priori" probability that is uniform, and where all MAXENT constraints are limited to 0-1 expectations for simple indicator-variables. The other three results report on an inability to extend the equivalence beyond these specialized constraints. Result 2 established a sensitivity (...)
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  8.  74
    Entropy and Insufficient Reason: A Note on the Judy Benjamin Problem.Anubav Vasudevan - 2020 - British Journal for the Philosophy of Science 71 (3):1113-1141.
    One well-known objection to the principle of maximum entropy is the so-called Judy Benjamin problem, first introduced by van Fraassen. The problem turns on the apparently puzzling fact that, on the basis of information relating an event’s conditional probability, the maximum entropy distribution will almost always assign to the event conditionalized on a probability strictly less than that assigned to it by the uniform distribution. In this article, I present an analysis of the Judy Benjamin problem that can (...)
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  9. Entropy a New World View /by Jeremy Rifkin with Ted Howard ; Afterword by Nicholas Georgescu-Roegen. --. --.Jeremy Rifkin & Ted Howard - 1980 - Viking Press, 1980.
  10.  89
    Horizon Entropy.Ted Jacobson & Renaud Parentani - 2003 - Foundations of Physics 33 (2):323-348.
    Although the laws of thermodynamics are well established for black hole horizons, much less has been said in the literature to support the extension of these laws to more general settings such as an asymptotic de Sitter horizon or a Rindler horizon (the event horizon of an asymptotic uniformly accelerated observer). In the present paper we review the results that have been previously established and argue that the laws of black hole thermodynamics, as well as their underlying statistical mechanical content, (...)
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  11.  30
    The Entropy Law and the Economic Process.L. A. Boland - 1976 - Synthese 33 (2):371-391.
  12. The Entropy Theory of Counterfactuals.Douglas N. Kutach - 2002 - Philosophy of Science 69 (1):82-104.
    I assess the thesis that counterfactual asymmetries are explained by an asymmetry of the global entropy at the temporal boundaries of the universe, by developing a method of evaluating counterfactuals that includes, as a background assumption, the low entropy of the early universe. The resulting theory attempts to vindicate the common practice of holding the past mostly fixed under counterfactual supposition while at the same time allowing the counterfactual's antecedent to obtain by a natural physical development. Although the (...)
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  13.  4
    Evolution as Entropy: Toward a Unified Theory of Biology.D. R. BROOKS - 1986 - University of Chicago Press.
    "By combining recent advances in the physical sciences with some of the novel ideas, techniques, and data of modern biology, this book attempts to achieve a new and different kind of evolutionary synthesis. I found it to be challenging, fascinating, infuriating, and provocative, but certainly not dull."--James H, Brown, University of New Mexico "This book is unquestionably mandatory reading not only for every living biologist but for generations of biologists to come."--Jack P. Hailman, Animal Behaviour , review of the first (...)
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  14.  43
    Psychological Entropy: A Framework for Understanding Uncertainty-Related Anxiety.Jacob B. Hirsh, Raymond A. Mar & Jordan B. Peterson - 2012 - Psychological Review 119 (2):304-320.
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  15. Entropy and Information: Suggestions for Common Language.Jeffrey S. Wicken - 1987 - Philosophy of Science 54 (2):176-193.
    Entropy and information are both emerging as currencies of interdisciplinary dialogue, most recently in evolutionary theory. If this dialogue is to be fruitful, there must be general agreement about the meaning of these terms. That this is not presently the case owes principally to the supposition of many information theorists that information theory has succeeded in generalizing the entropy concept. The present paper will consider the merits of the generalization thesis, and make some suggestions for restricting both (...) and information to specific arenas of discourse. (shrink)
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  16. Atoms, Entropy, Quanta: Einstein's Miraculous Argument of 1905.John D. Norton - 2006 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 37 (1):71-100.
    In the sixth section of his light quantum paper of 1905, Einstein presented the miraculous argument, as I shall call it. Pointing out an analogy with ideal gases and dilute solutions, he showed that the macroscopic, thermodynamic properties of high frequency heat radiation carry a distinctive signature of finitely many, spatially localized, independent components and so inferred that it consists of quanta. I describe how Einstein’s other statistical papers of 1905 had already developed and exploited the idea that the ideal (...)
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  17.  68
    Entropy and Information in Evolving Biological Systems.Daniel R. Brooks, John Collier, Brian A. Maurer, Jonathan D. H. Smith & E. O. Wiley - 1989 - Biology and Philosophy 4 (4):407-432.
    Integrating concepts of maintenance and of origins is essential to explaining biological diversity. The unified theory of evolution attempts to find a common theme linking production rules inherent in biological systems, explaining the origin of biological order as a manifestation of the flow of energy and the flow of information on various spatial and temporal scales, with the recognition that natural selection is an evolutionarily relevant process. Biological systems persist in space and time by transfor ming energy from one state (...)
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  18.  6
    Entropy: A New World View.Jeremy Rifkin - 1980 - Viking Press.
  19.  27
    Entropy and Chemical Substance.Robin Findlay Hendry - 2010 - Philosophy of Science 77 (5):921-932.
    In this essay I critically examine the role of entropy of mixing in articulating a macroscopic criterion for the sameness and difference of chemical substances. Consider three cases of mixing in which entropy change occurs: isotopic variants, spin isomers, and populations of atoms in different orthogonal quantum states. Using these cases I argue that entropy of mixing tracks differences between physical states, differences that may or may not correspond to a difference of substance. It does not provide (...)
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  20.  79
    Entropy Increase and Information Loss in Markov Models of Evolution.Elliott Sober & Mike Steel - 2011 - Biology and Philosophy 26 (2):223-250.
    Markov models of evolution describe changes in the probability distribution of the trait values a population might exhibit. In consequence, they also describe how entropy and conditional entropy values evolve, and how the mutual information that characterizes the relation between an earlier and a later moment in a lineage’s history depends on how much time separates them. These models therefore provide an interesting perspective on questions that usually are considered in the foundations of physics—when and why does (...) increase and at what rates do changes in entropy take place? They also throw light on an important epistemological question: are there limits on what your observations of the present can tell you about the evolutionary past? (shrink)
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  21.  4
    Entropies and the Anthropocene crisis.Maël Montévil - forthcoming - AI and Society:1-21.
    The Anthropocene crisis is frequently described as the rarefaction of resources or resources per capita. However, both energy and minerals correspond to fundamentally conserved quantities from the perspective of physics. A specific concept is required to understand the rarefaction of available resources. This concept, entropy, pertains to energy and matter configurations and not just to their sheer amount. However, the physics concept of entropy is insufficient to understand biological and social organizations. Biological phenomena display both historicity and systemic (...)
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  22.  1
    Entropy and Art: An Essay on Disorder and Order.Rudolf Arnheim - 1971 - Berkeley: University of California Press.
    Views the process of artistic creation in light of the conflict between man's quest for order and increasing universal disorder.
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  23. Entropy.G. J. Whitrow - 1967 - In Paul Edwards (ed.), The Encyclopedia of Philosophy. New York: Macmillan.
  24. An Entropy-Based Self-Adaptive Node Importance Evaluation Method for Complex Networks.Qibo Sun, Guoyu Yang & Ao Zhou - 2020 - Complexity 2020:1-13.
    Identifying important nodes in complex networks is essential in disease transmission control, network attack protection, and valuable information detection. Many evaluation indicators, such as degree centrality, betweenness centrality, and closeness centrality, have been proposed to identify important nodes. Some researchers assign different weight to different indicator and combine them together to obtain the final evaluation results. However, the weight is usually subjectively assigned based on the researcher’s experience, which may lead to inaccurate results. In this paper, we propose an (...)-based self-adaptive node importance evaluation method to evaluate node importance objectively. Firstly, based on complex network theory, we select four indicators to reflect different characteristics of the network structure. Secondly, we calculate the weights of different indicators based on information entropy theory. Finally, based on aforesaid steps, the node importance is obtained by weighted average method. The experimental results show that our method performs better than the existing methods. (shrink)
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  25.  43
    Entropy and Art: An Essay on Disorder and Order.Rudolf Arnheim - 1973 - Journal of Aesthetics and Art Criticism 32 (2):280-281.
    This essay is an attempt to reconcile the disturbing contradiction between the striving for order in nature and in man and the principle of entropy implicit in the second law of thermodynamics - between the tendency toward greater organization and the general trend of the material universe toward death and disorder.
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  26.  1
    Entropy and Art: An Essay on Disorder and Order.Rudolf Arnheim - 2010 - University of California Press.
    This essay is an attempt to reconcile the disturbing contradiction between the striving for order in nature and in man and the principle of entropy implicit in the second law of thermodynamics - between the tendency toward greater organization and the general trend of the material universe toward death and disorder.
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  27.  76
    Is Entropy Relevant to the Asymmetry Between Retrodiction and Prediction?Martin Barrett & Elliott Sober - 1992 - British Journal for the Philosophy of Science 43 (2):141-160.
    The idea that the changing entropy of a system is relevant to explaining why we know more about the system's past than about its future has been criticized on several fronts. This paper assesses the criticisms and clarifies the epistemology of the inference problem. It deploys a Markov process model to investigate the relationship between entropy and temporally asymmetric inference.
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  28.  14
    Maximum Entropy Inference with Quantified Knowledge.Owen Barnett & Jeff Paris - 2008 - Logic Journal of the IGPL 16 (1):85-98.
    We investigate uncertain reasoning with quantified sentences of the predicate calculus treated as the limiting case of maximum entropy inference applied to finite domains.
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  29.  11
    Striving, Entropy, and Meaning.J. S. Russell - 2020 - Journal of the Philosophy of Sport 47 (3):419-437.
    This paper argues that striving is a cardinal virtue in sport and life. It is an overlooked virtue that is an important component of human happiness and a source of a sense of dignity. The human ps...
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  30.  11
    Striving, Entropy, and Meaning.J. S. Russell - forthcoming - Tandf: Journal of the Philosophy of Sport:1-19.
  31.  5
    The Entropy Law and the Economic Process.L. A. Boland - 1972 - Philosophy of Science 39 (3):423-424.
  32.  19
    Atoms, Entropy, Quanta: Einstein’s Miraculous Argument of 1905.John D. Norton - 2005 - Studies in History and Philosophy of Modern Physics 37 (1):71-100.
    In the sixth section of his light quantum paper of 1905, Einstein presented the miraculous argument, as I shall call it. Pointing out an analogy with ideal gases and dilute solutions, he showed that the macroscopic, thermodynamic properties of high-frequency heat radiation carry a distinctive signature of finitely many, spatially localized, independent components and so inferred that it consists of quanta. I describe how Einstein's other statistical papers of 1905 had already developed and exploited the idea that the ideal gas (...)
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  33.  13
    On Entropy Production in the Madelung Fluid and the Role of Bohm’s Potential in Classical Diffusion.Eyal Heifetz, Roumen Tsekov, Eliahu Cohen & Zohar Nussinov - 2016 - Foundations of Physics 46 (7):815-824.
    The Madelung equations map the non-relativistic time-dependent Schrödinger equation into hydrodynamic equations of a virtual fluid. While the von Neumann entropy remains constant, we demonstrate that an increase of the Shannon entropy, associated with this Madelung fluid, is proportional to the expectation value of its velocity divergence. Hence, the Shannon entropy may grow due to an expansion of the Madelung fluid. These effects result from the interference between solutions of the Schrödinger equation. Growth of the Shannon (...) due to expansion is common in diffusive processes. However, in the latter the process is irreversible while the processes in the Madelung fluid are always reversible. The relations between interference, compressibility and variation of the Shannon entropy are then examined in several simple examples. Furthermore, we demonstrate that for classical diffusive processes, the “force” accelerating diffusion has the form of the positive gradient of the quantum Bohm potential. Expressing then the diffusion coefficient in terms of the Planck constant reveals the lower bound given by the Heisenberg uncertainty principle in terms of the product between the gas mean free path and the Brownian momentum. (shrink)
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  34.  65
    Maximum Entropy Inference as a Special Case of Conditionalization.Brian Skyrms - 1985 - Synthese 63 (1):55 - 74.
  35. Einstein, Entropy, and Anomalies.Daniel Sirtes & Eric Oberheim - 2006 - AIP Conference Proceedings 861:1147-1154.
    This paper strengthens and defends the pluralistic implications of Einstein's successful, quantitative predictions of Brownian motion for a philosophical dispute about the nature of scientific advance that began between two prominent philosophers of science in the second half of the twentieth century (Thomas Kuhn and Paul Feyerabend). Kuhn promoted a monistic phase-model of scientific advance, according to which a paradigm driven `normal science' gives rise to its own anomalies, which then lead to a crisis and eventually a scientific revolution. Feyerabend (...)
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  36. Entropy, Information and Evolution: New Perspectives on Physical and Biological Evolution.Bruce H. Weber, David J. Depew, James D. Smith & C. Dyke - 1990 - Behavior and Philosophy 18 (2):79-84.
     
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  37.  28
    Entropy in Relation to Incomplete Knowledge.Michael J. Zenzen - 1985
  38.  16
    Fuzzy Entropy for Pythagorean Fuzzy Sets with Application to Multicriterion Decision Making.Miin-Shen Yang & Zahid Hussain - 2018 - Complexity 2018:1-14.
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  39.  20
    Maximum Entropy and Probability Kinematics Constrained by Conditionals.Stefan Lukits - 2015 - Entropy 17 (4):1690-1700.
    Two open questions of inductive reasoning are solved: (1) does the principle of maximum entropy (pme) give a solution to the obverse Majerník problem; and (2) is Wagner correct when he claims that Jeffrey’s updating principle (jup) contradicts pme? Majerník shows that pme provides unique and plausible marginal probabilities, given conditional probabilities. The obverse problem posed here is whether pme also provides such conditional probabilities, given certain marginal probabilities. The theorem developed to solve the obverse Majerník problem demonstrates that (...)
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  40. Entropy in Relation to Incomplete Knowledge.K. G. Denbigh, J. S. Denbigh & H. D. Zeh - 1991 - British Journal for the Philosophy of Science 42 (1):111-144.
     
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  41.  99
    Can the Maximum Entropy Principle Be Explained as a Consistency Requirement?Jos Uffink - 1995 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 26 (3):223-261.
    The principle of maximum entropy is a general method to assign values to probability distributions on the basis of partial information. This principle, introduced by Jaynes in 1957, forms an extension of the classical principle of insufficient reason. It has been further generalized, both in mathematical formulation and in intended scope, into the principle of maximum relative entropy or of minimum information. It has been claimed that these principles are singled out as unique methods of statistical inference that (...)
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  42. Does von Neumann Entropy Correspond to Thermodynamic Entropy?Eugene Y. S. Chua - 2021 - Philosophy of Science 88 (1):145-168.
    Conventional wisdom holds that the von Neumann entropy corresponds to thermodynamic entropy, but Hemmo and Shenker (2006) have recently argued against this view by attacking von Neumann's (1955) argument. I argue that Hemmo and Shenker's arguments fail due to several misunderstandings: about statistical-mechanical and thermodynamic domains of applicability, about the nature of mixed states, and about the role of approximations in physics. As a result, their arguments fail in all cases: in the single-particle case, the finite particles case, (...)
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  43. Unbounded Entropy in Spacetimes with Positive Cosmological Constant.Raphael Bousso, Oliver DeWolfe & Robert C. Myers - 2003 - Foundations of Physics 33 (2):297-321.
    In theories of gravity with a positive cosmological constant, we consider product solutions with flux, of the form (A)dS p ×S q . Most solutions are shown to be perturbatively unstable, including all uncharged dS p ×S q spacetimes. For dimensions greater than four, the stable class includes universes whose entropy exceeds that of de Sitter space, in violation of the conjectured “N-bound.” Hence, if quantum gravity theories with finite-dimensional Hilbert space exist, the specification of a positive cosmological constant (...)
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  44. An Introduction to Logical Entropy and its Relation to Shannon Entropy.David Ellerman - 2013 - International Journal of Semantic Computing 7 (2):121-145.
    The logical basis for information theory is the newly developed logic of partitions that is dual to the usual Boolean logic of subsets. The key concept is a "distinction" of a partition, an ordered pair of elements in distinct blocks of the partition. The logical concept of entropy based on partition logic is the normalized counting measure of the set of distinctions of a partition on a finite set--just as the usual logical notion of probability based on the Boolean (...)
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  45.  76
    Characterizing Entropy in Statistical Physics and in Quantum Information Theory.Bernhard Baumgartner - 2014 - Foundations of Physics 44 (10):1107-1123.
    A new axiomatic characterization with a minimum of conditions for entropy as a function on the set of states in quantum mechanics is presented. Traditionally unspoken assumptions are unveiled and replaced by proven consequences of the axioms. First the Boltzmann–Planck formula is derived. Building on this formula, using the Law of Large Numbers—a basic theorem of probability theory—the von Neumann formula is deduced. Axioms used in older theories on the foundations are now derived facts.
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  46. How Does the Entropy/Information Bound Work?Jacob D. Bekenstein - 2005 - Foundations of Physics 35 (11):1805-1823.
    According to the universal entropy bound, the entropy of a complete weakly self-gravitating physical system can be bounded exclusively in terms of its circumscribing radius and total gravitating energy. The bound’s correctness is supported by explicit statistical calculations of entropy, gedanken experiments involving the generalized second law, and Bousso’s covariant holographic bound. On the other hand, it is not always obvious in a particular example how the system avoids having too many states for given energy, and hence (...)
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  47.  87
    Entropy, Its Language, and Interpretation.Harvey S. Leff - 2007 - Foundations of Physics 37 (12):1744-1766.
    The language of entropy is examined for consistency with its mathematics and physics, and for its efficacy as a guide to what entropy means. Do common descriptors such as disorder, missing information, and multiplicity help or hinder understanding? Can the language of entropy be helpful in cases where entropy is not well defined? We argue in favor of the descriptor spreading, which entails space, time, and energy in a fundamental way. This includes spreading of energy spatially (...)
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  48. Entropy and Vacuum Radiation.Jean E. Burns - 1998 - Foundations of Physics 28 (7):1191-1207.
    It is shown that entropy increase in thermodynamic systems can plausibly be accounted for by the random action of vacuum radiation. A recent calculation by Rueda using stochastic electrodynamics (SED) shows that vacuum radiation causes a particle to undergo a rapid Brownian motion about its average dynamical trajectory. It is shown that the magnitude of spatial drift calculated by Rueda can also be predicted by assuming that the average magnitudes of random shifts in position and momentum of a particle (...)
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  49.  15
    Sample Entropy, Univariate, and Multivariate Multi-Scale Entropy in Comparison with Classical Postural Sway Parameters in Young Healthy Adults.Jiann-Shing Shieh, Clint Hansen, Qin Wei, Paul Fourcade, Brice Isableu & Lina Majed - 2017 - Frontiers in Human Neuroscience 11.
  50.  81
    Entropy of Formulas.Vera Koponen - 2009 - Archive for Mathematical Logic 48 (6):515-522.
    A probability distribution can be given to the set of isomorphism classes of models with universe {1, ..., n} of a sentence in first-order logic. We study the entropy of this distribution and derive a result from the 0–1 law for first-order sentences.
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