Results for 'Possibilistic models'

994 found
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  1.  83
    A possibilistic hierarchical model for behaviour under uncertainty.Gert de Cooman & Peter Walley - 2002 - Theory and Decision 52 (4):327-374.
    Hierarchical models are commonly used for modelling uncertainty. They arise whenever there is a `correct' or `ideal' uncertainty model but the modeller is uncertain about what it is. Hierarchical models which involve probability distributions are widely used in Bayesian inference. Alternative models which involve possibility distributions have been proposed by several authors, but these models do not have a clear operational meaning. This paper describes a new hierarchical model which is mathematically equivalent to some of the (...)
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  2.  14
    Against “Possibilist” Interpretations of Climate Models.Corey Dethier - forthcoming - Philosophy of Science:1-13.
    Climate scientists frequently employ heavily idealized models. How should these models be interpreted? Some philosophers have advanced a possibilist interpretation: climate models stand in for possible scenarios that could occur, but do not provide information about how probable those scenarios are. The present paper argues that possibilism is (a) undermotivated, (b) incompatible with successful practices in the science, and (c) unable to correct for known biases. The upshot is that the models should be interpreted probabilistically in (...)
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  3. Models of Possibilism and Trivialism.Luis Estrada-González - 2012 - Logic and Logical Philosophy 21 (2):175-205.
    In this paper I probe the idea that neither possibilism nor trivialism could be ruled out on a purely logical basis. I use the apparatus of relational structures used in the semantics for modal logics to engineer some models of possibilism and trivialism and I discuss a philosophical stance about logic, truth values and the meaning of connectives underlying such analysis.
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  4. Are climate models credible worlds? Prospects and limitations of possibilistic climate prediction.Gregor Betz - 2015 - European Journal for Philosophy of Science 5 (2):191-215.
    Climate models don’t give us probabilistic forecasts. To interpret their results, alternatively, as serious possibilities seems problematic inasmuch as climate models rely on contrary-to-fact assumptions: why should we consider their implications as possible if their assumptions are known to be false? The paper explores a way to address this possibilistic challenge. It introduces the concepts of a perfect and of an imperfect credible world, and discusses whether climate models can be interpreted as imperfect credible worlds. That (...)
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  5.  1
    Temporal scenario modelling and recognition based on possibilistic logic.Michel Grabisch - 2003 - Artificial Intelligence 148 (1-2):261-289.
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  6.  3
    Operations and evaluation measures for learning possibilistic graphical models.Christian Borgelt & Rudolf Kruse - 2003 - Artificial Intelligence 148 (1-2):385-418.
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  7.  11
    Interventions and belief change in possibilistic graphical models.Salem Benferhat - 2010 - Artificial Intelligence 174 (2):177-189.
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  8.  22
    Maxi-Adjustment and Possibilistic Deduction for Adaptive Information Agents.Raymond Lau, Arthur H. M. ter Hofstede & Peter D. Bruza - 2001 - Journal of Applied Non-Classical Logics 11 (1-2):169-201.
    The expressive power of logic is believed to be able to model most of the fundamental aspects of information retrieval. However, it is also understood that classical logic is ineffective for handling partiality and uncertainty in IR. Applying non-classical logics such as the AGM belief revision logic and the possibilistic logic to adaptive information retrieval is appealing since they provide a powerful and rigorous framework to model partiality and uncertainty inherent in any IR processes. The maxi-adjustment method, which is (...)
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  9. What’s the worst case? The Methodology of Possibilistic Prediction.Gregor Betz - 2010 - Analyse & Kritik 32 (1):87-106.
    Frank Knight (1921) famously distinguished the epistemic modes of certainty, risk, and uncertainty in order to characterize situations where deterministic, probabilistic or possibilistic foreknowledge is available. Because our probabilistic knowledge is limited, i.e. because many systems, e.g. the global climate, cannot be described and predicted probabilistically in a reliable way, Knight's third category, possibilistic foreknowledge, is not simply swept by the probabilistic mode. This raises the question how to justify possibilistic predictionsincluding the identication of the worst case. (...)
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  10.  9
    Goedel's Property Abstraction and Possibilism.Randoph Rubens Goldman - 2014 - Australasian Journal of Logic 14 (3).
    Gödel’s Ontological argument is distinctive because it is the most sophisticated and formal of ontological arguments and relies heavily on the notion of _positive property_. Gödel uses a third-order modal logic with a property abstraction operator and property quantification into modal contexts. Gödel describes _positive property_ as "independent of the accidental structure of the world"; "pure attribution," as opposed to privation; "positive in the 'moral aesthetic sense.'" _Pure attribution_ seems likely to be related to the Leibnizian concept of perfection. By (...)
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  11.  14
    Goedel's Property Abstraction and Possibilism.Randoph Rubens Goldman - 2014 - Australasian Journal of Logic 11 (2).
    Gödel’s Ontological argument is distinctive because it is the most sophisticated and formal of ontological arguments and relies heavily on the notion of positive property. Gödel uses a third-order modal logic with a property abstraction operator and property quantification into modal contexts. Gödel describes positive property as "independent of the accidental structure of the world"; "pure attribution," as opposed to privation; "positive in the 'moral aesthetic sense.'" Pure attribution seems likely to be related to the Leibnizian concept of perfection.By a (...)
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  12.  34
    Why was a Fuzzy Model so Successful in Physical Organic Chemistry?F. Michael Akeroyd - 2000 - Hyle 6 (2):161 - 173.
    This paper examines a facet of the rise of the Hughes-Ingold Theory of Nucleophilic Substitution in Organic Chemistry 1933-1942, arguing that the SN1/SN2 model of reaction mechanism used by Hughes and Ingold is an example of a fuzzy model. Many real world 'Fuzzy Logic' Controlling Devices gave better results compared to classical logic controlling devices in the period 1975-1985. I propose that the adoption of fuzzy principles in the Hughes-Ingold program 1933-1940 led to scientific advance at a time when the (...)
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  13.  77
    Big toy models: Representing physical systems as Chu spaces.Samson Abramsky - 2012 - Synthese 186 (3):697 - 718.
    We pursue a model-oriented rather than axiomatic approach to the foundations of Quantum Mechanics, with the idea that new models can often suggest new axioms. This approach has often been fruitful in Logic and Theoretical Computer Science. Rather than seeking to construct a simplified toy model, we aim for a 'big toy model', in which both quantum and classical systems can be faithfully represented—as well as, possibly, more exotic kinds of systems. To this end, we show how Chu spaces (...)
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  14.  55
    Imagination and the Meaningful Brain.Arnold H. Modell - 2003 - Bradford Book/MIT Press.
    " In Imagination and the Meaningful Brain, psychoanalyst Arnold Modell claims that subjective human experience must be included in any scientific...
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  15. Anne Bottomley and Nathan Moore.on New Model Jurisprudence : The Scholar/Critic As Artisan - 2018 - In Andreas Philippopoulos-Mihalopoulos (ed.), Routledge Handbook of Law and Theory. New York, NY: Routledge.
     
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  16. The rationality of science: Why bother?Philosophical Models of Scientific Change - 1992 - In W. Newton-Smith, Tʻien-chi Chiang & E. James (eds.), Popper in China. Routledge.
     
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  17.  11
    Ernest Lepore.What Model-Theoretic Semantics Cannot Do - 1997 - In Peter Ludlow (ed.), Readings in the Philosophy of Language. MIT Press.
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  18. Hubert L. Dreyfus and Stuart E. Dreyfus.Model Of Rationality - 1978 - In A. Hooker, J. J. Leach & E. F. McClennen (eds.), Foundations and Applications of Decision Theory. D. Reidel. pp. 115.
  19. Concepts of chaos-the analysis of self-similarity and the relevance of the ethical dimension-a comment on Baker, Gregory, L. a'dualistic model of ultimate reality and meaning-self-similarity in chaotic dynamics and and swedenborg'.Sm Modell - 1994 - Ultimate Reality and Meaning 17 (4):310-315.
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  20. Reflections on DNA: The contribution of genetics to an energy-based model of ultimate reality and meaning.Stephen M. Modell - 2002 - Ultimate Reality and Meaning 25 (4):274-294.
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  21.  81
    Genetic and reproductive technologies in the light of religious dialogue.Stephen M. Modell - 2007 - Zygon 42 (1):163-182.
    Abstract.Since the gene splicing debates of the 1980s, the public has been exposed to an ongoing sequence of genetic and reproductive technologies. Many issue areas have outcomes that lose track of people's inner values or engender opposing religious viewpoints defying final resolution. This essay relocates the discussion of what is an acceptable application from the individual to the societal level, examining technologies that stand to address large numbers of people and thus call for policy resolution, rather than individual fiat, in (...)
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  22.  79
    Aristotelian Influence in the Formation of Medical Theory.Stephen M. Modell - 2010 - The European Legacy 15 (4):409-424.
    Aristotle is oftentimes viewed through a strictly philosophical lens as heir to Plato and has having introduced logical rigor where an emphasis on the theory of Forms formerly prevailed. It must be appreciated that Aristotle was the son of a physician, and that his inculcation of the thought of other Greek philosophers addressing health and the natural elements led to an extremely broad set of biologically- and medically-related writings. As this article proposes, Aristotle deepened the fourfold theory of the elements (...)
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  23. A. lansner1.Neuron Model - 1986 - In G. Palm & A. Aertsen (eds.), Brain Theory. Springer. pp. 249.
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  24.  46
    Approaching Religious Guidelines for Chimera Policymaking.Stephen M. Modell - 2007 - Zygon 42 (3):629-642.
  25. Complexity of meaning, 3 Complexity of processing operations, 3 Conceptual classes, 103 Connectionism, 61, 80, 86, 87.Competition Model - 2005 - Behaviorism 34:83.
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  26. Definitions of trauma.Dissociated Trauma Model - 2002 - In Kelly Oliver & Steve Edwin (eds.), Between the Psyche and the Social: Psychoanalytic Social Theory. Rowman & Littlefield.
     
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  27.  13
    Female sexuality, mockery, and a challenge to fate: A reinterpretation of South Nayar talikettukalyanam.Judith Modell - 1984 - Semiotica 50 (3-4).
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  28.  14
    Frieden und Krieg. Zur Hegel-Auslegung Emmanuel Lévinas.Anselm Model - 2007 - Hegel-Jahrbuch 2007 (1).
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  29. In re Storar: Euthanasia for.A. Proposed Model - 1989 - In Anthony Serafini (ed.), Ethics and Social Concern. Paragon House. pp. 69.
     
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  30. Naturalizing relational psychoanalytic theory.Arnold Modell - 2009 - In Roger Frie & Donna M. Orange (eds.), Beyond Postmodernism: New Dimensions in Theory and Practice. Routledge.
  31. Professor, Water Science and Civil Engineering University of California Davis, California.A. Mathematical Model - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.,: [San Jose? Calif.. pp. 31.
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  32. The genetic recombination of science and religion.Stephen M. Modell - 2010 - Zygon 45 (2):462-468.
    The estrangement between genetic scientists and theologians originating in the 1960s is reflected in novel combinations of human thought (subject) and genes (investigational object), paralleling each other through the universal process known in chaos theory as self-similarity. The clash and recombination of genes and knowledge captures what Philip Hefner refers to as irony, one of four voices he suggests transmit the knowledge and arguments of the religion-and-science debate. When viewed along a tangent connecting irony to leadership, journal dissemination, and the (...)
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  33. The Search for Deeper Meaning in the Life Sciences.Stephen M. Modell - 2008 - Ultimate Reality and Meaning 31 (2-3):160-182.
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  34. Using the human body as a paradigm for the structure of time: some reflections on time's Ultimate Reality and Meaning.S. M. Modell - 1994 - Ultimate Reality and Meaning 17 (3):197-221.
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  35.  13
    Zur Mehrdeutigkeit des Terminus,Metaphysik' bei Kant.Anselm Model - 2001 - In Ralph Schumacher, Rolf-Peter Horstmann & Volker Gerhardt (eds.), Kant Und Die Berliner Aufklärung: Akten des Ix. Internationalen Kant-Kongresses. Bd. I: Hauptvorträge. Bd. Ii: Sektionen I-V. Bd. Iii: Sektionen Vi-X: Bd. Iv: Sektionen Xi-Xiv. Bd. V: Sektionen Xv-Xviii. New York: De Gruyter. pp. 638-645.
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  36. Katsuhiko Sekine.Problème de Cauchy Dans le Modèle & En Métrique de LeeIndéfinie - 1968 - In Jean-Louis Destouches, Evert Willem Beth & Institut Henri Poincaré (eds.), Logic and foundations of science. Dordrecht,: D. Reidel.
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  37. Energy, information, and emergence in the context of ultimate reality and meaning.Alexander A. Berezin, Stephen M. Modell, Louise Sundarajan & Siti Salamah Pope - 2002 - Ultimate Reality and Meaning 25 (4):256-273.
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  38. Guiding principles operating in gene research and the notion of reality involved.R. C. Baumiller & S. M. Modell - 1997 - Ultimate Reality and Meaning 20 (4):282-303.
     
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  39.  47
    The baigas of madhya pradesh: A demographic study.P. H. Reddy & B. Modell - 1997 - Journal of Biosocial Science 29 (1):19-31.
    This paper outlines the demographic characteristics of the Baiga tribe, one of the most primitive of the aboriginal tribal groups of Central India. The Baiga population has grown steadily since the first anthropological study of the tribe in the 1930s. Age at menarche, age at marriage, breast-feeding, and time interval between marriage and first conception are natural. There are more females than males. Sub-tribe endogamy is common; consanguineous marriage is favoured (34% of marriages are between first cousins) and marital distance (...)
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  40. Wlodzmierz Rabinowicz and Sten Lindstrom.How to Model Relational Belief Revision - 1994 - In Dag Prawitz & Dag Westerståhl (eds.), Logic and Philosophy of Science in Uppsala. Kluwer Academic Publishers. pp. 69.
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  41. J. goldembero.Elastic Scattering Form Factor & Nilsson Model - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.,: [San Jose? Calif.. pp. 379.
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  42.  10
    Crossing species boudaries.Neville Cobbe, Stephen M. Modell & Bernard E. Rollin - 2007 - Zygon 42 (3):599-648.
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  43. Coherence and correspondence in the network dynamics of belief suites.Patrick Grim, Andrew Modell, Nicholas Breslin, Jasmine Mcnenny, Irina Mondescu, Kyle Finnegan, Robert Olsen, Chanyu An & Alexander Fedder - 2017 - Episteme 14 (2):233-253.
    Coherence and correspondence are classical contenders as theories of truth. In this paper we examine them instead as interacting factors in the dynamics of belief across epistemic networks. We construct an agent-based model of network contact in which agents are characterized not in terms of single beliefs but in terms of internal belief suites. Individuals update elements of their belief suites on input from other agents in order both to maximize internal belief coherence and to incorporate ‘trickled in’ elements of (...)
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  44. Pierre mounoud.P. Rochat & A. Recursive Model - 1995 - In The Self in Infancy: Theory and Research. Elsevier. pp. 112--141.
     
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  45. Jan Doroszewski.Semiotyczno-Systemowy Model Wiedzy Medycznej - 2001 - Studia Semiotyczne 24:175.
     
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  46. GT Csanady Department of Mechanical Engineering, University of Waterloo.Simple Analytical Models Of Wind-Driven - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.,: [San Jose? Calif.. pp. 371.
     
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  47. On this page.A. Structural Model Of Turnout & In Voting - 2011 - Emergence: Complexity and Organization 9 (4).
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  48. Wiesław kotański.Cztery Modele Komunikacji Semiotycznej - 1993 - Studia Semiotyczne 18:49.
     
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  49. Relational Hidden Variables and Non-Locality.Samson Abramsky - 2013 - Studia Logica 101 (2):411-452.
    We use a simple relational framework to develop the key notions and results on hidden variables and non-locality. The extensive literature on these topics in the foundations of quantum mechanics is couched in terms of probabilistic models, and properties such as locality and no-signalling are formulated probabilistically. We show that to a remarkable extent, the main structure of the theory, through the major No-Go theorems and beyond, survives intact under the replacement of probability distributions by mere relations.
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  50.  12
    Classification Theory: Proceedings of the U.S.-Israel Workshop on Model Theory in Mathematical Logic Held in Chicago, Dec. 15-19, 1985.J. T. Baldwin & U. Workshop on Model Theory in Mathematical Logic - 1987 - Springer.
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