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  1. Admissibility Troubles for Bayesian Direct Inference Principles.Christian Wallmann & James Hawthorne - 2020 - Erkenntnis 85 (4):957-993.
    Direct inferences identify certain probabilistic credences or confirmation-function-likelihoods with values of objective chances or relative frequencies. The best known version of a direct inference principle is David Lewis’s Principal Principle. Certain kinds of statements undermine direct inferences. Lewis calls such statements inadmissible. We show that on any Bayesian account of direct inference several kinds of intuitively innocent statements turn out to be inadmissible. This may pose a significant challenge to Bayesian accounts of direct inference. We suggest some ways in which (...)
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  • A solution to the lottery paradox.Nathan Stemmer - 1982 - Synthese 51 (3):339 - 353.
  • In defense of the Turing test.Eric Neufeld & Sonje Finnestad - 2020 - AI and Society 35 (4):819-827.
    In 2014, widespread reports in the popular media that a chatbot named Eugene Goostman had passed the Turing test became further grist for those who argue that the diversionary tactics of chatbots like Goostman and others, such as those who participate in the Loebner competition, are enabled by the open-ended dialog of the Turing test. Some claim a new kind of test of machine intelligence is needed, and one community has advanced the Winograd schema competition to address this gap. We (...)
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  • Imitation Game: Threshold or Watershed?Eric Neufeld & Sonje Finnestad - 2020 - Minds and Machines 30 (4):637-657.
    Showing remarkable insight into the relationship between language and thought, Alan Turing in 1950 proposed the Imitation Game as a proxy for the question “Can machines think?” and its meaning and practicality have been debated hotly ever since. The Imitation Game has come under criticism within the Computer Science and Artificial Intelligence communities with leading scientists proposing alternatives, revisions, or even that the Game be abandoned entirely. Yet Turing’s imagined conversational fragments between human and machine are rich with complex instances (...)
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  • Did Pearson reject the Neyman-Pearson philosophy of statistics?Deborah G. Mayo - 1992 - Synthese 90 (2):233 - 262.
    I document some of the main evidence showing that E. S. Pearson rejected the key features of the behavioral-decision philosophy that became associated with the Neyman-Pearson Theory of statistics (NPT). I argue that NPT principles arose not out of behavioral aims, where the concern is solely with behaving correctly sufficiently often in some long run, but out of the epistemological aim of learning about causes of experimental results (e.g., distinguishing genuine from spurious effects). The view Pearson did hold gives a (...)
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  • Behavioristic, evidentialist, and learning models of statistical testing.Deborah G. Mayo - 1985 - Philosophy of Science 52 (4):493-516.
    While orthodox (Neyman-Pearson) statistical tests enjoy widespread use in science, the philosophical controversy over their appropriateness for obtaining scientific knowledge remains unresolved. I shall suggest an explanation and a resolution of this controversy. The source of the controversy, I argue, is that orthodox tests are typically interpreted as rules for making optimal decisions as to how to behave--where optimality is measured by the frequency of errors the test would commit in a long series of trials. Most philosophers of statistics, however, (...)
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  • An objective theory of statistical testing.Deborah G. Mayo - 1983 - Synthese 57 (3):297 - 340.
    Theories of statistical testing may be seen as attempts to provide systematic means for evaluating scientific conjectures on the basis of incomplete or inaccurate observational data. The Neyman-Pearson Theory of Testing (NPT) has purported to provide an objective means for testing statistical hypotheses corresponding to scientific claims. Despite their widespread use in science, methods of NPT have themselves been accused of failing to be objective; and the purported objectivity of scientific claims based upon NPT has been called into question. The (...)
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  • A problem about frequencies in direct inference.Stephen Leeds, John L. Pollock & Henry E. Kyburg - 1985 - Philosophical Studies 48 (1):137 - 140.
  • The problem of representing incompletely ordered doxastic systems.Peter Forrest - 1989 - Synthese 79 (2):279 - 303.
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  • The philosophical scandal of the wrong kind of religious disagreement.Peter Forrest - 2009 - Sophia 48 (2):151-166.
    I argue for the following four theses: (1) The Dread Thesis: human beings should fear having false religious beliefs concerning some religious doctrines; (2) The Radical Uncertainty Thesis: we, namely most human beings in our culture at our time, are in a situation where we have to commit ourselves on the truth or falsity of some propositions of ultimate importance; (3) The Radical Choice Thesis: considerations of expected loss or gain do not always provide guidance as to how to commit (...)
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  • Metatickles and the dynamics of deliberation.Ellery Eells - 1984 - Theory and Decision 17 (1):71-95.
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  • Newcomb's many solutions.Ellery Eells - 1984 - Theory and Decision 16 (1):59-105.
  • Possible worlds foundations for probability.John C. Bigelow - 1976 - Journal of Philosophical Logic 5 (3):299--320.
  • Against Conditionalization.Fahiem Bacchus, Henry E. Kyburg & Mariam Thalos - 1990 - Synthese 85 (3):475-506.