Results for 'logique d'inférence'

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  1. Analytic inference and the informational meaning of the logical operators.Marcello D'Agostino - forthcoming - Logique Et Analyse.
     
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  2.  38
    The material theory of induction.John D. Norton - 2021 - Calgary, Alberta, Canada: University of Calgary Press.
    The inaugural title in the new, Open Access series BSPS Open, The Material Theory of Induction will initiate a new tradition in the analysis of inductive inference. The fundamental burden of a theory of inductive inference is to determine which are the good inductive inferences or relations of inductive support and why it is that they are so. The traditional approach is modeled on that taken in accounts of deductive inference. It seeks universally applicable schemas or rules or a single (...)
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  3.  47
    Études sur les règles d'inférence dites règles de Gentzen.Hugues Leblanc - 1963 - Dialogue 1 (4):355-367.
    Je vais traiter ici des inférences dont la validité tient au rôle qu'y jouent les cinq connecteurs « ⊃ », « ∼ », « & », « V » et « ≡ », les deux quantificateurs « ∀ » et « ∃ », et le signe d'identité « = ». Qu'on me permette de rappeler que les deux conjectures présentéd dans ma première étude se sont avéré'es justes. En premier lieu, toute règle de structure et toute règie d'élimination ou d'introduction (...)
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  4. La notion de rationalité des méthodes d'inférence faillibles.K. Ajdukiewicz - 1959 - Logique Et Analyse 2 (5):3.
     
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  5.  11
    Can a Thought's Whole Subject-Matter Be Itself? The Case of Pain.D. Goldstick - 2024 - Dialogue 63 (1):139-145.
    RésuméLa croyance que l'on est (ou pas) dans un état de douleur est singulière en ceci qu'elle semble pouvoir être qualifiée d'infaillibilité ou d'incorrigibilité logique, de même que le cogito. Mais comment se peut-il que l'existence d'une croyance (vraie) et l'existence du fait qui est l'objet de cette croyance puisssent constituer la même existence? Je propose ici une réponse à cette question. Parfois, une croyance peut être un désir.
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  6. Fragments inédits de la Logique d'Alfarabi.D. Salman - 1948 - Revue des Sciences Philosophiques Et Théologiques 32:222-225.
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  7. Practical Inferences.D. S. Clarke - 1987 - Ethics 98 (1):178-180.
     
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  8.  9
    From the epistemic perspectives in experimental semantics to the ambiguity of proper names: Is the inference warranted? A critical notice of Jincai Li's The referential mechanism of proper names.Nicolò D'Agruma - 2023 - Mind and Language 38 (4):1138-1146.
    In her engaging book, The referential mechanism of proper names, Li presents empirical studies involving American and Chinese laypeople. Li interprets her results as supporting an epistemic‐perspective reading of the variability in referential intuitions on proper names. Building upon this thesis, Li defends the ambiguity view, claiming that names are ambiguous between a descriptivist and a causal‐historical meaning. I argue that either Li's data do not enable a comparison of the two theories of reference, or support for the ambiguity view (...)
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  9.  95
    The nature of inference.D. G. Brown - 1955 - Philosophical Review 64 (3):351-369.
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  10. The enduring scandal of deduction: is propositional logic really uninformative?Marcello D'Agostino & Luciano Floridi - 2009 - Synthese 167 (2):271-315.
    Deductive inference is usually regarded as being “tautological” or “analytical”: the information conveyed by the conclusion is contained in the information conveyed by the premises. This idea, however, clashes with the undecidability of first-order logic and with the (likely) intractability of Boolean logic. In this article, we address the problem both from the semantic and the proof-theoretical point of view. We propose a hierarchy of propositional logics that are all tractable (i.e. decidable in polynomial time), although by means of growing (...)
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  11.  68
    Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.D. Sobel - 2004 - Cognitive Science 28 (3):303-333.
    Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children recognizing relevant associations among events, and responding based on those associations. To examine this claim, in Experiments 1 and 2, children were introduced to a “blicket detector,” a machine that lit up and played music when certain objects were placed upon it. Children observed patterns of contingency between objects and the machine's activation that (...)
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  12.  61
    Dag Prawitz on Proofs, Operations and Grounding.Antonio Piccolomini D’ Aragona - 2019 - Topoi 38 (3):531-550.
    Dag Prawitz’s theory of grounds proposes a fresh approach to valid inferences. Its main aim is to clarify nature and reasons of their epistemic power. The notion of ground is taken to denote what one is in possession of when in a state of evidence, and valid inferences are described in terms of operations that make us pass from grounds we already have to new grounds. Thanks to a rigorously developed proof-as-chains conception, the ground-theoretic framework permits Prawitz to overcome some (...)
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  13. Facts, Values and Quanta.D. M. Appleby - 2005 - Foundations of Physics 35 (4):627-668.
    Quantum mechanics is a fundamentally probabilistic theory (at least so far as the empirical predictions are concerned). It follows that, if one wants to properly understand quantum mechanics, it is essential to clearly understand the meaning of probability statements. The interpretation of probability has excited nearly as much philosophical controversy as the interpretation of quantum mechanics. 20th century physicists have mostly adopted a frequentist conception. In this paper it is argued that we ought, instead, to adopt a logical or Bayesian (...)
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  14.  33
    Proofs, Grounds and Empty Functions: Epistemic Compulsion in Prawitz’s Semantics.Antonio Piccolomini D’Aragona - 2021 - Journal of Philosophical Logic 51 (2):249-281.
    Prawitz has recently developed a theory of epistemic grounding that differs in many respects from his earlier semantics of arguments and proofs. An innovative approach to inferences yields a new conception of the intertwinement of the notions of valid inference and proof. We aim at singling out three reasons that may have led Prawitz to the ground-theoretic turn, i.e.: a better order in the explanation of the relation between valid inferences and proofs; a notion of valid inference based on which (...)
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  15. The many-property problem is your problem, too.Justin D’Ambrosio - 2021 - Philosophical Studies 178 (3):811-832.
    The many-property problem has traditionally been taken to show that the adverbial theory of perception is untenable. This paper first shows that several widely accepted views concerning the nature of perception---including both representational and non-representational views---likewise face the many-property problem. It then presents a solution to the many-property problem for these views, but goes on to show how this solution can be adapted to provide a novel, fully compositional solution to the many-property problem for adverbialism. Thus, with respect to the (...)
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  16.  21
    Calculi of Epistemic Grounding Based on Prawitz’s Theory of Grounds.Antonio Piccolomini D’Aragona - 2022 - Studia Logica 110 (3):819-877.
    We define a class of formal systems inspired by Prawitz’s theory of grounds. The latter is a semantics that aims at accounting for epistemic grounding, namely, at explaining why and how deductively valid inferences have the power to epistemically compel to accept the conclusion. Validity is defined in terms of typed objects, called grounds, that reify evidence for given judgments. An inference is valid when a function exists from grounds for the premises to grounds for the conclusion. Grounds are described (...)
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  17. Edmund Husserl: Expérience et Jugement. Recherche en vue d'une généalogie de la logique.D. Christoff - 1970 - Studia Philosophica 30:299.
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  18.  57
    A neural cognitive model of argumentation with application to legal inference and decision making.Artur S. D'Avila Garcez, Dov M. Gabbay & Luis C. Lamb - 2014 - Journal of Applied Logic 12 (2):109-127.
    Formal models of argumentation have been investigated in several areas, from multi-agent systems and artificial intelligence (AI) to decision making, philosophy and law. In artificial intelligence, logic-based models have been the standard for the representation of argumentative reasoning. More recently, the standard logic-based models have been shown equivalent to standard connectionist models. This has created a new line of research where (i) neural networks can be used as a parallel computational model for argumentation and (ii) neural networks can be used (...)
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  19.  29
    Projective inferences and practical reasoning.D. S. Clarke - 1982 - Southern Journal of Philosophy 20 (1):1-13.
  20. Inference and and Implication.D. Wilson & D. Sperber - 1986 - In Charles Travis (ed.), Meaning and interpretation. New York, NY, USA: Blackwell.
     
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  21.  13
    On inferring evolutionary adaptation.D. W. Rajecki - 1984 - Behavioral and Brain Sciences 7 (1):161-162.
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  22.  98
    Mood Constancy in Mixed Inferences.D. S. Clarke - 1970 - Analysis 30 (3):100 - 103.
  23.  8
    Le Fondement Logique des Valeurs.D. Christoff - 1949 - Proceedings of the Tenth International Congress of Philosophy 1:454-455.
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  24. Louis Vax: L'empirisme logique.D. Christoff - 1970 - Studia Philosophica 30:334.
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  25. Fuzzy inference.D. Boixader & L. Godo - 1998 - In Enrique H. Ruspini, Piero Patrone Bonissone & Witold Pedrycz (eds.), Handbook of Fuzzy Computation. Institute of Physics.
     
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  26.  28
    Probability: A Philosophical Introduction.D. H. Mellor - 2004 - Routledge.
    _Probability: A Philosophical Introduction_ introduces and explains the principal concepts and applications of probability. It is intended for philosophers and others who want to understand probability as we all apply it in our working and everyday lives. The book is not a course in mathematical probability, of which it uses only the simplest results, and avoids all needless technicality. The role of probability in modern theories of knowledge, inference, induction, causation, laws of nature, action and decision-making makes an understanding of (...)
  27.  33
    Varieties of Practical Inference.D. S. Clarke - 1979 - Southern Journal of Philosophy 17 (3):273-286.
  28. Avayava (Members of Inference).D. Prahlada Char - 2006 - In Pranab Kumar Sen & Prabal Kumar Sen (eds.), Philosophical Concepts Relevant to Sciences in Indian Tradition. Motilal Banarsidass. pp. 1--419.
     
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  29. Authors’ Response: Enactivism, Cognitive Science, and the Jonasian Inference.D. Ward & M. Villalobos - 2016 - Constructivist Foundations 11 (2):228-233.
    Upshot: In our target article we claimed that, at least since Weber and Varela, enactivism has incorporated a theoretical commitment to one important aspect of Jonas’s philosophical biology, namely its anthropomorphism, which is at odds with the methodological commitments of modern science. In this general reply we want to clarify what we mean by anthropomorphism, and explain why we think it is incompatible with science. We do this by spelling out what we call the “Jonasian inference,” i.e., the idea that (...)
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  30.  33
    Varieties of practical inference.D. S. Clarke - 1979 - Southern Journal of Philosophy 17 (3):273-286.
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  31.  21
    The Birth of Logic Out of the Spirit of Democracy.Franca D’Agostini - 2024 - History and Philosophy of Logic 45 (1):58-69.
    This paper advances a version of the theory whereby logic had deep origins in democracy, by re-reading Gorgias’ Encomium of Helen. Democracy, ‘the government by debate’, called political (and scientific) attention to the inferential abilities of citizens and to politicians’ ability of taking advantage of them. Sophists, in particular, discovered that people’s inferences follow constant repeatable forms, that these forms have impact on choices and decisions concerning public good, and then by dominating them you dominate politics in democracy. With the (...)
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  32.  9
    Projective Inferences and Practical Reasoning.D. S. Clarke - 1982 - Southern Journal of Philosophy 20 (1):1-13.
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  33.  98
    Why Monte Carlo Simulations Are Inferences and Not Experiments.Claus Beisbart & John D. Norton - 2012 - International Studies in the Philosophy of Science 26 (4):403-422.
    Monte Carlo simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that already employed by traditional simulations: the inference by ordinary argumentation of conclusions from assumptions built into the simulations. We show that Monte Carlo simulations cannot produce knowledge other than by inference, and that they resemble other computer simulations in the manner in which they derive their conclusions. Simple examples of Monte Carlo simulations (...)
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  34.  15
    The proof-theoretic square.Antonio Piccolomini D’Aragona - 2023 - Synthese 201 (6):1-34.
    In Prawitz’s semantics, the validity of an argument may be defined, either relatively to an atomic base which determines the meaning of the non-logical terminology, or relatively to the whole class of atomic bases, namely as logical validity. In the first case, which may be qualified as local, one has to choose whether validity of arguments is or not monotonic over expansions of bases, while in the second case, which may be qualified as global, one has to choose whether the (...)
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  35.  37
    Bayesian inference given data?significant at??: Tests of point hypotheses.D. J. Johnstone & D. V. Lindley - 1995 - Theory and Decision 38 (1):51-60.
  36.  30
    II.—Time, Truth and Inference.D. F. Pears - 1951 - Proceedings of the Aristotelian Society 51 (1):1-24.
  37.  3
    Deduction at the Crossroads.Antonio Piccolomini D’Aragona - 2024 - In Antonio Piccolomini D'Aragona (ed.), Perspectives on Deduction: Contemporary Studies in the Philosophy, History and Formal Theories of Deduction. Springer Verlag. pp. 1-19.
    I provide a general introduction to the notion at issue in this volume, i.e. deduction, and to some akin notions like inference and reasoning. I also argue that logic is, or should be concerned with three attitudes: an archaeological attitude, a nomological attitude, and an aetiological attitude. Then, I sum up the content of the contributions in this volume.
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  38. Hegel: logique spéculative et mathématiques pseudo-synthétiques.D. Parrochia - 1993 - Kairos (Université de Toulouse-Le Mirail. Faculté de philosophie) 4:113-150.
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  39.  23
    A propos d'une difficulte logique dans l'argument de Cleanthe.Stanley Tweyman - 1984 - Hume Studies 10 (1):69-80.
    In lieu of an abstract, here is a brief excerpt of the content:69. A PROPOS D'UNE DIFFICULTE LOGIQUE DANS L'ARGUMENT DE CLEANTHE L'argument de Cléanthe ("the Argument from Design", c'est-à-dire la preuve de Dieu par le dessein du monde) se fonde sur le principe que "des effets semblables prouvent des causes semblables" pour montrer que la ressemblance entre le dessein du monde et le dessein des machines amène la conclusion que la cause du dessein du monde ressemble à l'intelligence (...)
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  40. Introducing transcranial magnetic stimulation (TMS) and its property of causal inference in investigating brain-function relationships.D. Schutter, J. van Honk & Jaak Panksepp - 2004 - Synthese 141 (2):155-73.
    Transcranial magnetic stimulation (TMS) is a method capable of transiently modulating neural excitability. Depending on the stimulation parameters information processing in the brain can be either enhanced or disrupted. This way the contribution of different brain areas involved in mental processes can be studied, allowing a functional decomposition of cognitive behavior both in the temporal and spatial domain, hence providing a functional resolution of brain/mind processes. The aim of the present paper is to argue that TMS with its ability to (...)
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  41. Misconceptions of Inference.D. G. Brown - 1954 - Analysis 15 (6):135-144.
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  42.  12
    Misconceptions of Inference.D. G. Brown - 1955 - Analysis 15 (6):135-144.
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  43.  61
    The role of practical inferences in deliberation.D. S. Clarke - 1977 - Southern Journal of Philosophy 15 (1):15-25.
  44. MILES, M.-Insight and Inference.D. L. Sepper - 2001 - Philosophical Books 42 (1):56-57.
     
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  45.  15
    Ampliative inference: on choosing a probability distribution.D. Osherson - 1993 - Cognition 49 (3):189-210.
  46.  42
    Does rank have its privilege? Inductive inferences within folkbiological taxonomies.John D. Coley, Douglas L. Medin & Scott Atran - 1997 - Cognition 64 (1):73-112.
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  47.  33
    Abductive inferences and the structure of scientific knowledge.M. D. Bybee - 1996 - Argumentation 10 (1):25-46.
    The received theories of epistemology identify abductive inferences with the cognitive patterns of speculation (hypothesis formation) and insist that they cannot verify or confirm hypotheses. I criticize various descriptions of abduction, offer a structural analysis of abductive inference,, characterize abduction without alluding to its putative role in inquiry, and then demonstrate that some abductions do provide evidence and that not all scientific hypotheses derive from abductive inferences. This result challenges those notions of scientific k knowledge that dismiss some central scientific (...)
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  48.  66
    The distinction between inference and decision.D. V. Lindley - 1977 - Synthese 36 (1):51 - 58.
  49.  66
    Statement and Inference with other Philosophical Papers. By John Cook Wilson, sometime Wykeham Professor of Logic in the University of Oxford. Edited from the MSS. by A. S. L. Farquharson, Fellow of University College. With a portrait, memoir, and selected correspondence. [REVIEW]D. L. A. - 1926 - Philosophy 1 (4):511.
  50. Finite-dimensional models of categorical semi-minimal theories.D. Andler - 1975 - Logique Et Analyse 18 (71):359.
     
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