Search results for 'Alice Kyburg' (try it on Scholar)

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  1. Alice Kyburg & Michael Morreau (2000). Fitting Words: Vague Language in Context. Linguistics and Philosophy 23 (6):577-597.score: 240.0
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  2. Alice Kyburg (2000). When Vague Sentences Inform: A Model of Assertability. Synthese 124 (2):175-191.score: 240.0
    A speaker often decides whether or not to saysomething based on his assessment of the impact itwould have on his hearer's beliefs. If he thinks itwould bring them more in line with the truth, he saysit; otherwise he does not. In this paper, I developa model of these judgments, focusing specifically onthose of vague sentences. Under the simplifyingassumption that an utterance only conveys a speaker'sapplicability judgments, I present a Bayesian model ofan utterance's impact on a hearer's beliefs. Fromthis model I (...)
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  3. Henry Ely Kyburg (1990). Science & Reason. Oxford University Press.score: 60.0
    In this work Henry Kyburg presents his views on a wide range of philosophical problems associated with the study and practice of science and mathematics. The main structure of the book consists of a presentation of Kyburg's notions of epistemic probability and its use in the scientific enterprise i.e., the effort to modify previously adopted beliefs in the light of experience. Intended for cognitive scientists and people in artificial intelligence as well as for technically oriented philosophers, the book (...)
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  4. Henry E. Kyburg (ed.) (1984). Theory and Measurement. Cambridge University Press.score: 60.0
    Measurement is fundamental to all the sciences, the behavioural and social as well as the physical and in the latter its results provide our paradigms of 'objective fact'. But the basis and justification of measurement is not well understood and is often simply taken for granted. Henry Kyburg Jr proposes here an original, carefully worked out theory of the foundations of measurement, to show how quantities can be defined, why certain mathematical structures are appropriate to them and what meaning (...)
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  5. Henry E. Kyburg (1976). Chance. Journal of Philosophical Logic 5 (3):355-393.score: 30.0
  6. F. Bacchus, Mariam Thalos & H. E. Kyburg (1990). Against Conditionalization. Synthese 85 (3):475 - 506.score: 30.0
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  7. Gregory Wheeler, Henry E. Kyburg & Choh Man Teng (2007). Conditionals and Consequences. Journal of Applied Logic 5 (4):638-650.score: 30.0
    We examine the notion of conditionals and the role of conditionals in inductive logics and arguments. We identify three mistakes commonly made in the study of, or motivation for, non-classical logics. A nonmonotonic consequence relation based on evidential probability is formulated. With respect to this acceptance relation some rules of inference of System P are unsound, and we propose refinements that hold in our framework.
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  8. Henry E. Kyburg (1963). Probability and Randomness. Theoria 29 (1):27-55.score: 30.0
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  9. Henry E. Kyburg (1992). Getting Fancy with Probability. Synthese 90 (2):189-203.score: 30.0
    There are a number of reasons for being interested in uncertainty, and there are also a number of uncertainty formalisms. These formalisms are not unrelated. It is argued that they can all be reflected as special cases of the approach of taking probabilities to be determined by sets of probability functions defined on an algebra of statements. Thus, interval probabilities should be construed as maximum and minimum probabilities within a set of distributions, Glenn Shafer's belief functions should be construed as (...)
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  10. Henry E. Kyburg (2001). Real Logic is Nonmonotonic. Minds and Machines 11 (4):577-595.score: 30.0
    Charles Morgan has argued that nonmonotonic logic is ``impossible''. We show here that those arguments are mistaken, and that Morgan's preferred alternative, the representation of nonmonotonic reasoning by ``presuppositions'' fails to provide a framework in which nonmonotonic reasoning can be constructively criticised. We argue that an inductive logic, based on probabilistic acceptance, offers more than Morgan's approach through presuppositions.
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  11. Henry E. Kyburg (1993). The Evidence of Your Own Eyes. Minds and Machines 3 (2):201-218.score: 30.0
    The evidence of your own eyes has often been regarded as unproblematic. But we know that people make mistaken observations. This can be looked on as unimportant if there issome class of statements that can serve as evidence for others, or if every statement in our corpus of knowledge is allowed to be no more than probable. Neither of these alternatives is plausible when it comes to machine or robotic observation. Then we must take the possibility of error seriously, and (...)
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  12. Henry E. Kyburg (1998). Logic and the Foundations of Statistical Inference. Behavioral and Brain Sciences 21 (2):208-209.score: 30.0
    The rapprochement between methodology and statistics suggested by Chow's book is a much needed one. His examples suggest that the situation is even worse in psychology than in some other disciplines. It is suggested that both historical accuracy and attention to recent work on the foundations of statistics would be beneficial in achieving the goals that Chow seeks.
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  13. H. Kyburg (1978). Subjective Probability: Criticisms, Reflections, and Problems. [REVIEW] Journal of Philosophical Logic 7 (1):157 - 180.score: 30.0
  14. Henry Kyburg (1992). The Scope of Bayesian Reasoning. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:139 - 152.score: 30.0
    The Bayesian view of inference has become popular in philosophy in recent years. Scientific Reasoning: a Bayesian Approach, by Colin Howson and Peter Urbach, represents an articulate and persuasive defense of the Bayesian view. We focus on the theme of that book, and argue that there are difficulties with Bayesianism, and alternatives worth considering. One of the most serious drawbacks to Bayesianism is the subjectivity that pervades most versions of it. We argue that this is an instance of a more (...)
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  15. Henry E. Kyburg (2002). Don't Take Unnecessary Chances! Synthese 132 (1-2):9-26.score: 30.0
    The dominant argument for the introduction of propensities or chances as an interpretation of probability depends on the difficulty of accounting for single case probabilities. We argue that in almost all cases, the``single case'' application of probability can be accounted for otherwise. ``Propensities'' are needed only intheoretical contexts, and even there applications of probability need only depend on propensities indirectly.
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  16. Henry E. Kyburg (1971). Epistemological Probability. Synthese 23 (2-3):309-326.score: 30.0
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  17. Stephen Leeds, John L. Pollock & Henry E. Kyburg (1985). A Problem About Frequencies in Direct Inference. Philosophical Studies 48 (1):137 - 140.score: 30.0
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  18. Henry E. Kyburg (1997). Thinking About Reasoning About Knowledge. Minds and Machines 7 (1):103-112.score: 30.0
  19. Henry E. Kyburg (1979). Tyche and Athena. Synthese 40 (3):415 - 438.score: 30.0
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  20. Henry Kyburg (1974). The Logical Foundations of Statistical Inference. Reidel.score: 30.0
    At least one of these conceptions of probability underlies any theory of statistical inference (or, to use Neyman's phrase, 'inductive behavior'). ...
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  21. Henry E. Kyburg (1958). R. B. Braithwaite on Probability and Induction. British Journal for the Philosophy of Science 9 (35):203-220.score: 30.0
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  22. William L. Harper & Henry E. Kyburg (1968). Discussions: The Jones Case. British Journal for the Philosophy of Science 19 (3):247-251.score: 30.0
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  23. Henry E. Kyburg (1977). Decisions, Conclusions, and Utilities. Synthese 36 (1):87-96.score: 30.0
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  24. Henry E. Kyburg (1986). Induction and Probability. Behavioral and Brain Sciences 9 (4):660.score: 30.0
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  25. Henry E. Kyburg (1971). Reviews. [REVIEW] Synthese 22 (3-4):482-493.score: 30.0
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  26. Henry E. Kyburg (1972). Randomness. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1972:137 - 149.score: 30.0
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  27. Henry E. Kyburg (1958). The Justification of Deduction. Review of Metaphysics 12 (1):19-25.score: 30.0
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  28. Rose Alice (1964). Flannery O'Connor. Renascence 16 (3):126-132.score: 30.0
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  29. William L. Harper & Henry E. Kyburg (1968). The Jones Case. British Journal for the Philosophy of Science 19 (3):247-251.score: 30.0
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  30. Henry E. Kyburg (1996). Keynes's Philosophical Development, John B. Davis. Cambridge University Press, 1994, 196 + Xii Pages. Economics and Philosophy 12 (02):230-.score: 30.0
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  31. Henry E. Kyburg (1991). A Two-Level System of Knowledge Representation Based on Evidential Probability. Philosophical Studies 64 (1):105 - 114.score: 30.0
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  32. Henry E. Kyburg (1983). Rational Belief. Behavioral and Brain Sciences 6 (2):231.score: 30.0
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  33. Henry E. Kyburg (1975). Review: Jaakko Hintikka, Imre Lakatos, Induction by Enumeration and Induction by Elimination; J. R. Lucas, R. Carnap, M. B. Hesse, J. Hintikka, Discussion. [REVIEW] Journal of Symbolic Logic 40 (3):448-449.score: 30.0
  34. Henry E. Kyburg (1977). Reply to Professor Freudenthal. Synthese 36 (4):493-498.score: 30.0
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  35. Henry Kyburg (1983). Recent Work in Inductive Logic. In Kenneth G. Lucey & Tibor R. Machan (eds.), Recent Work in Philosophy. Rowman & Allanheld. 87--150.score: 30.0
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  36. Robert Ackermann & Henry E. Kyburg (1972). Review: Jonathan Cohen on Induction: Two Reviews. [REVIEW] Journal of Philosophy 69 (4):103 - 114.score: 30.0
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  37. Henry E. Kyburg (1980). Functional Architecture and Free Will. Behavioral and Brain Sciences 3 (1):143.score: 30.0
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  38. Henry E. Kyburg (1996). Probabilistic Fallacies. Behavioral and Brain Sciences 19 (1):31.score: 30.0
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  39. Henry E. Kyburg (1990). Giving Up Certainties. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:333 - 347.score: 30.0
    One of the serious motivations for the development of non-monotonic logics is the fact that, however sure we may be of some set of facts, there can come a time at which at least some of them must be given up. A number of philosophical approaches have stemmed from the study of scientific inference, in which a law or theory, accepted on good evidence at one time, comes to be rejected on the basis of more evidence. These approaches are reviewed, (...)
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  40. Henry E. Kyburg (1981). Intuition, Competence, and Performance. Behavioral and Brain Sciences 4 (3):341.score: 30.0
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  41. Henry Kyburg (1998). [Omnibus Review]. Journal of Symbolic Logic 63 (3):1183-1184.score: 30.0
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  42. Henry E. Kyburg (2006). Vexed Convexity. In Erik J. Olsson (ed.), Knowledge and Inquiry: Essays on the Pragmatism of Isaac Levi. Cambridge University Press. 97--110.score: 30.0
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  43. Evans Nicholas & Gaby Alice (2011). Reciprocal Constructions in Mah Meri. In Nicholas Evans (ed.), Reciprocals and Semantic Typology. John Benjamins Pub. Company. 149--162.score: 30.0
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  44. Henry E. Kyburg (1980). Acts and Conditional Probabilities. Theory and Decision 12 (2):149-171.score: 30.0
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  45. Henry E. Kyburg (1985). Another Reply to Leeds. Philosophical Studies 48 (1):145 - 148.score: 30.0
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  46. Henry E. Kyburg (1968). Bets and Beliefs. American Philosophical Quarterly 5 (1):54-63.score: 30.0
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  47. Henry E. Kyburg (1965). Comments on Salmon's" Inductive Evidence". American Philosophical Quarterly 2 (4):274-276.score: 30.0
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  48. Henry E. Kyburg (1979). Direct Measurement. American Philosophical Quarterly 16 (4):259-272.score: 30.0
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  49. Henry E. Kyburg & David A. Nelson (1994). Discussion Reviews. Minds and Machines 4 (1):81-101.score: 30.0
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