Results for 'Belief function'

997 found
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  1.  4
    Belief functions on distributive lattices.Chunlai Zhou - 2013 - Artificial Intelligence 201 (C):1-31.
  2.  13
    Belief functions and default reasoning.Salem Benferhat, Alessandro Saffiotti & Philippe Smets - 2000 - Artificial Intelligence 122 (1--2):1--69.
  3. Objective Belief Functions as Induced Measures.Yutaka Nakamura - 2003 - Theory and Decision 55 (1):71-83.
    Given a belief function ? on the set of all subsets of prizes, how should ? values be understood as a decision alternative? This paper presents and characterizes an induced-measure interpretation of belief functions.
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  4.  48
    Respecting Evidence: Belief Functions not Imprecise Probabilities.Nicholas J. J. Smith - 2022 - Synthese 200 (475):1-30.
    The received model of degrees of belief represents them as probabilities. Over the last half century, many philosophers have been convinced that this model fails because it cannot make room for the idea that an agent’s degrees of belief should respect the available evidence. In its place they have advocated a model that represents degrees of belief using imprecise probabilities (sets of probability functions). This paper presents a model of degrees of belief based on Dempster–Shafer (...) functions and then presents arguments for belief functions over imprecise probabilities as a model of evidence-respecting degrees of belief. The arguments cover three kinds of issue: theoretical virtues (simplicity, interpretability and flexibility); motivations; and problem cases (dilation and belief inertia). (shrink)
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  5. Beliefs, functionally discrete states, and connectionist networks.George Botterill - 1994 - British Journal for the Philosophy of Science 45 (3):899-906.
  6.  7
    Propagating belief functions through constraints systems.Jürg Kohlas & Paul-André Monney - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 50--57.
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  7.  53
    Consensus for belief functions and related uncertainty measures.Carl G. Wagner - 1989 - Theory and Decision 26 (3):295-304.
  8.  7
    An elementary belief function logic.Didier Dubois, Lluis Godo & Henri Prade - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):582-605.
    1. There are two distinct lines of research that aim at modelling belief and knowledge: modal logic and uncertainty theories. Modal logic extends classical logic by introducing knowledge or belief...
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  9.  51
    Acting on belief functions.Nicholas J. J. Smith - 2023 - Theory and Decision 95 (4):575-621.
    The degrees of belief of rational agents should be guided by the evidence available to them. This paper takes as a starting point the view—argued elsewhere—that the formal model best able to capture this idea is one that represents degrees of belief using Dempster–Shafer belief functions. However degrees of belief should not only respect evidence: they also guide decision and action. Whatever formal model of degrees of belief we adopt, we need a decision theory that (...)
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  10.  37
    Second-order probabilities and belief functions.Jonathan Baron - 1987 - Theory and Decision 23 (1):25-36.
  11.  90
    Connecting dempster–shafer belief functions with likelihood-based inference.Mikel Aickin - 2000 - Synthese 123 (3):347-364.
    The Dempster–Shafer approach to expressing beliefabout a parameter in a statistical model is notconsistent with the likelihood principle. Thisinconsistency has been recognized for some time, andmanifests itself as a non-commutativity, in which theorder of operations (combining belief, combininglikelihood) makes a difference. It is proposed herethat requiring the expression of belief to be committed to the model (and to certain of itssubmodels) makes likelihood inference very nearly aspecial case of the Dempster–Shafer theory.
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  12.  16
    Probability functions, belief functions and infinite regresses.David Atkinson & Jeanne Peijnenburg - 2020 - Synthese 199 (1-2):3045-3059.
    In a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regresses have different solutions depending on whether they are analyzed with probability functions or with belief functions. Meester and Kerkvliet give two examples, each of which aims to show that an analysis based on belief functions yields a different numerical outcome for the agent’s degree of rational belief than one based on probability functions. In the present paper we however show that the (...)
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  13.  4
    Statistical Evidence and Belief Functions.Teddy Seidenfeld - 1978 - PSA Proceedings of the Biennial Meeting of the Philosophy of Science Association 1978 (2):478-489.
    In his recent monograph [7], Professor Shafer has offered us an alternative to Bayesian inference with his novel theory of belief functions and, in his current paper [8], has characterized his position by pointing to two basic differences it shares with Bayesianism. First, belief functions are non-additive so that the degree of belief assigned to the disjunction ‘A1 or A2’ may be larger than the sum of the degrees of belief assigned to the separate disjuncts. Second, (...)
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  14. Reasoning with belief functions: An analysis of compatibility.Judea Pearl - 1990 - International Journal of Approximate Reasoning 4:363--389.
     
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  15.  18
    Reasoning with belief functions over Belnap–Dunn logic.Marta Bílková, Sabine Frittella, Daniil Kozhemiachenko, Ondrej Majer & Sajad Nazari - forthcoming - Annals of Pure and Applied Logic.
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  16.  2
    Towards a logical belief function theory.Laurence Cholvy - 2015 - Journal of Applied Logic 13 (4):441-457.
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  17.  31
    Statistical Evidence and Belief Functions.Teddy Seidenfeld - 1978 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1978:478 - 489.
    PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association, Vol. 1978, Volume Two: Symposia and Invited Papers. (1978), pp. 478-489.
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  18.  18
    Probability of provability and belief functions.Philippe Smets - 1991 - Logique Et Analyse 133 (134):177-195.
  19. Coherence in the aggregate: a betting method for belief functions on many-valued events.Tommaso Flaminio, Lluis Godo & Hykel Hosni - unknown
    Betting methods, of which de Finetti's Dutch Book is by far the most well-known, are uncertainty modelling devices which accomplish a twofold aim. Whilst providing an interpretation of the relevant measure of uncertainty, they also provide a formal definition of coherence. The main purpose of this paper is to put forward a betting method for belief functions on MV-algebras of many-valued events which allows us to isolate the corresponding coherence criterion, which we term coherence in the aggregate. Our framework (...)
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  20.  56
    Coherent bets under partially resolving uncertainty and belief functions.Jean-Yves Jaffray - 1989 - Theory and Decision 26 (2):99-105.
  21.  2
    Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence.Thierry Denœux - 2008 - Artificial Intelligence 172 (2-3):234-264.
  22.  10
    Analyzing the degree of conflict among belief functions.Weiru Liu - 2006 - Artificial Intelligence 170 (11):909--924.
  23.  8
    Representing uncertainty on set-valued variables using belief functions.Thierry Denœux, Zoulficar Younes & Fahed Abdallah - 2010 - Artificial Intelligence 174 (7-8):479-499.
  24.  10
    A study of probabilities and belief functions under conflicting evidence: Comparisons and new methods.Mary Deutsch-McLeish - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 41--49.
  25. Comments on Shafer's``perspectives on the theory and practice of belief functions''.Larry Wasserman - 1992 - International Journal of Approximate Reasoning 6 (2):367--375.
     
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  26. Rejoinder to comments on ``reasoning with belief functions: An analysis of compatibility.Judea Pearl - 1992 - International Journal of Approximate Reasoning 6 (3):425--443.
     
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  27. Endorsing Non-Occurrent Beliefs: Why Standard Belief Functioning is Problematic for the Extended Mind.Eric Hochstein - 2009 - In Benoit Hardy-Vallée & Nicolas Payetter (eds.), Beyond the Brain: Embodied, Situated and Distributed Cognition. Cambridge Scholars Press. pp. 205-214.
  28.  7
    The normative representation of quantified beliefs by belief functions.Philippe Smets - 1997 - Artificial Intelligence 92 (1--2):229--242.
  29.  49
    A random utility model for a belief function.Jean-Claude Falmagne - 1983 - Synthese 57 (1):35 - 48.
  30.  97
    Beliefs as signals: A new function for belief.Eric Funkhouser - 2017 - Philosophical Psychology 30 (6):809-831.
    Beliefs serve at least two broad functions. First, they help us navigate the world. Second, they serve as signals to manipulate others. Philosophers and psychologists have focused on the first function while largely overlooking the second. This article advances a conception of signals and makes a prima facie case for a social signaling function for at least some beliefs. Truth and rational support are often irrelevant to the signaling function. If some beliefs evolved for a signaling (...), then we should expect various biases that aid in the manipulation of others. (shrink)
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  31.  90
    Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children's understanding of deception.H. Wimmer - 1983 - Cognition 13 (1):103-128.
  32.  1
    The social function of religious belief.William Wilson Elwang - 1908 - [Columbia, Mo.]: University of Missouri.
    Excerpt from The Social Function of Religious Belief And these conclusions, that religion is both coeval and coex tensive with the race, are strengthened by a, consideration of the obscure problem of religious origins, using the Word origin not in the sense of a starting point in time, but as cause or ground. In other words, the enquiry at this point is not historical, but psychological. The temporal origin of religion is veiled in the thick darkness of the (...)
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  33.  51
    Belief: Form, Content, and Function.Radu J. Bogdan (ed.) - 1986 - New York: Oxford University Press.
    Some of the topics presented in this volume of original essays on contemporary approaches to belief include the problem of misrepresentation and false belief, conscious versus unconscious belief, explicit versus tacit belief, and the durable versus ephemeral question of the nature of belief. The contributors, Fred Dretske, Keith Lehrer, William Lycan, Stephen Schiffer, Stephen P. Stich, and the editor, Radu Bogdan, focus on the mental realization of belief, its cognitive and behavioral aspects, and the (...)
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  34. Rational belief change, Popper functions and counterfactuals.William L. Harper - 1975 - Synthese 30 (1-2):221 - 262.
    This paper uses Popper's treatment of probability and an epistemic constraint on probability assignments to conditionals to extend the Bayesian representation of rational belief so that revision of previously accepted evidence is allowed for. Results of this extension include an epistemic semantics for Lewis' theory of counterfactual conditionals and a representation for one kind of conceptual change.
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  35.  44
    Functional belief and judgmental belief.Kate Nolfi - 2017 - Synthese 197 (12):5301-5317.
    A division between functional belief, on the one hand, and judgmental belief, on the other, is central to Sosa’s two-tier virtue epistemology. For Sosa, mere functional belief is constituted by a first-order affirmation. In contrast, a judgmental belief is an intentional affirmation; a performance which is partially constituted by the believer’s endeavor to affirm truthfully, and reliably enough. If, qua performance, judgmental belief is like the hunter’s shot or the baseball player’s swing, mere functional (...) is much more like a heartbeat. This paper explores whether we should accept Sosa’s distinction between mere functional belief and judgmental belief, and, if we should, how recognizing this distinction ought to shape our epistemological theorizing. Accordingly, the first aim of this paper is expository. It is to further clarify Sosa’s contrasting categories of functional belief and judgmental belief and to attempt to characterize explicitly the role that the division between functional belief and judgmental belief plays in Sosa’s two-tier virtue epistemology. The second aim of this paper is more critical. It is to articulate and begin to evaluate a series of concerns regarding whether Sosa’s division between functional belief and judgmental belief is well-founded, and so to explore whether a virtue-theoretic performance epistemology ought to embrace the sort of two-tiered account of cognitive performance that Sosa favors. (shrink)
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  36.  60
    Building belief: Some queries about representation, indication, and function.Stephen P. Stich - 1990 - Philosophy and Phenomenological Research 50 (4):801-806.
  37.  2
    Teachers’ Beliefs and Practices Regarding the Role of Executive Functions in Reading and Arithmetic.Shirley Rapoport, Orly Rubinsten & Tami Katzir - 2016 - Frontiers in Psychology 7.
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  38.  43
    Beliefs in being unlucky and deficits in executive functioning.John Maltby, Liz Day, Diana G. Pinto, Rebecca A. Hogan & Alex M. Wood - 2013 - Consciousness and Cognition 22 (1):137-147.
    The current paper proposes the Dysexecutive Luck hypothesis; that beliefs in being unlucky are associated with deficits in executive functioning. Four studies suggest initial support for the Dysexecutive Luck hypothesis via four aspects of executive functioning. Study 1 established that self-reports of dysexecutive symptoms predicted unique variance in beliefs in being unlucky after controlling for a number of other variables previously reported to be related to beliefs around luck. Studies 2 to 4 demonstrated support for the Dysexecutive Luck hypothesis via (...)
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  39.  6
    Parents’ Beliefs About Play and the Purpose of Preschool Education, Preschoolers’ Home Activity and Executive Functions.Biruk K. Metaferia, Judit Futo, Raechel Drew & Zsofia K. Takacs - 2020 - Frontiers in Psychology 11.
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  40.  94
    The dynamics of belief: Contractions and revisions of probability functions.Peter Gärdenfors - 1986 - Topoi 5 (1):29-37.
    Using probability functions defined over a simple language as models of states of belief, my goal in this article has been to analyse contractions and revisions of beliefs. My first strategy was to formulate postulates for these processes. Close parallels between the postulates for contractions and the postulates for revisions have been established - the results in Section 5 show that contractions and revisions are interchangeable. As a second strategy, some suggestions for more or less explicit constructive definitions of (...)
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  41.  12
    Functional vs. Relational Approaches to Belief Revision.Erik J. Olsson - 2011 - In Erik J. Olson Sebastian Enqvist (ed.), Belief Revision Meets Philosophy of Science. Springer. pp. 253--268.
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  42.  10
    Ethical Belief as a Biological Function.C. H. Waddington - 1949 - Proceedings of the Tenth International Congress of Philosophy 1:482-484.
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  43. The functions of beliefs: teachers' personal epistemology on the pinning block.Helenrose Fives & Michelle M. Buehl - 2017 - In Gregory J. Schraw, Jo Brownlee & Lori Olafson (eds.), Teachers' personal epistemologies: evolving models for informing practice. Charlotte, NC: Information Age Publishing, Inc,..
     
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  44. The functions of delusional beliefs.Peter Kinderman & Bentall & P. Richard - 2006 - In Man Cheung Chung, Bill Fulford & George Graham (eds.), Reconceiving Schizophrenia. Oxford University Press.
     
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  45.  13
    Why Belief Statements Are Not Truth-Functional.Keith Burgess-Jackson - 2020 - Philosophy Study 10 (11).
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  46. Unsettled Belief.Bob Beddor - forthcoming - The Philosophical Quarterly.
    According to many philosophers, belief is a settling state. On this view, someone who believes p is disposed to take p for granted in practical and theoretical reasoning. This paper presents a simple objection to this settling conception of belief: it conflicts with our ordinary patterns of belief ascription. I show that ascriptions of unsettled beliefs are commonplace, and that they pose problems for all of the most promising ways of developing the settling conception. I proceed to (...)
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  47.  20
    Lifespan aging and belief reasoning: Influences of executive function and social cue decoding.Louise H. Phillips, Rebecca Bull, Roy Allen, Pauline Insch, Kirsty Burr & Will Ogg - 2011 - Cognition 120 (2):236-247.
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  48.  13
    Spontaneous Generation: Design Beliefs and Proper Cognitive Function.John T. Mullen - 2005 - Philosophia Christi 7 (2):345 - 367.
    It is commonly assumed that there is some sort of tacit ’inference’ involved when we form the belief that intentional activity on the part of some (perhaps unidentified) person is causally relevant to the occurrence of some event. Against this "inferential model" of design belief formation I argue that in many ordinary cases we do not ’infer’ design beliefs at all, but that they form spontaneously and ’properly’ whenever certain conditions are met. This alternative model has a respectable (...)
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  49.  94
    Revising Beliefs Towards the Truth.Ilkka Niiniluoto - 2011 - Erkenntnis 75 (2):165-181.
    Belief revision (BR) and truthlikeness (TL) emerged independently as two research programmes in formal methodology in the 1970s. A natural way of connecting BR and TL is to ask under what conditions the revision of a belief system by new input information leads the system towards the truth. It turns out that, for the AGM model of belief revision, the only safe case is the expansion of true beliefs by true input, but this is not very interesting (...)
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  50. Why think that belief is evidence-responsive?Carolina Flores - forthcoming - In Eric Schwitzgebel & Jonathan Jong (eds.), What is Belief? Oxford University Press.
    The orthodox view in epistemology is that belief is constitutively evidence-responsive. I offer a novel argument for a version of this view, one that appeals to capacities to rationally respond to evidence. I do so by developing the Sellarsian idea that the concept of belief functions to mark the space of reasons in a non-intellectualist and naturalistic direction. The resulting view does justice to the role of belief in social interactions, joint deliberation, and rational persuasion, while including (...)
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