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  1. Acceptance of empirical statements: A Bayesian theory without cognitive utilities.John C. Harsanyi - 1985 - Theory and Decision 18 (1):1-30.
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  • (2 other versions)Famine, affluence, and morality.Peter Singer - 1972 - Philosophy and Public Affairs 1 (3):229-243.
    As I write this, in November 1971, people are dying in East Bengal from lack of food, shelter, and medical caxc. The suffering and death that are occurring there now axe not inevitable, 1101; unavoidable in any fatalistic sense of the term. Constant poverty, a cyclone, and a civil war have turned at least nine million people into destitute refugees; nevertheless, it is not beyond Lhe capacity of the richer nations to give enough assistance to reduce any further suffering to (...)
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  • The Scientist Qua Scientist Makes Value Judgments.Richard Rudner - 1953 - Philosophy of Science 20 (1):1-6.
    The question of the relationship of the making of value judgments in a typically ethical sense to the methods and procedures of science has been discussed in the literature at least to that point which e. e. cummings somewhere refers to as “The Mystical Moment of Dullness.” Nevertheless, albeit with some trepidation, I feel that something more may fruitfully be said on the subject.
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  • Must the scientist make value judgments?Isaac Levi - 1960 - Journal of Philosophy 57 (11):345-357.
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  • Inductive risk and values in science.Heather Douglas - 2000 - Philosophy of Science 67 (4):559-579.
    Although epistemic values have become widely accepted as part of scientific reasoning, non-epistemic values have been largely relegated to the "external" parts of science (the selection of hypotheses, restrictions on methodologies, and the use of scientific technologies). I argue that because of inductive risk, or the risk of error, non-epistemic values are required in science wherever non-epistemic consequences of error should be considered. I use examples from dioxin studies to illustrate how non-epistemic consequences of error can and should be considered (...)
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  • Value judgements and the estimation of uncertainty in climate modeling.Justin Biddle & Eric Winsberg - 2009 - In P. D. Magnus & Jacob Busch (eds.), New waves in philosophy of science. New York: Palgrave-Macmillan. pp. 172--197.
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  • Epistemic values and the argument from inductive risk.Daniel Steel - 2010 - Philosophy of Science 77 (1):14-34.
    Critics of the ideal of value‐free science often assume that they must reject the distinction between epistemic and nonepistemic values. I argue that this assumption is mistaken and that the distinction can be used to clarify and defend the argument from inductive risk, which challenges the value‐free ideal. I develop the idea that the characteristic feature of epistemic values is that they promote, either intrinsically or extrinsically, the attainment of truths. This proposal is shown to answer common objections to the (...)
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  • Bayesian decision theory, subjective and objective probabilities, and acceptance of empirical hypotheses.John C. Harsanyi - 1983 - Synthese 57 (3):341 - 365.
    It is argued that we need a richer version of Bayesian decision theory, admitting both subjective and objective probabilities and providing rational criteria for choice of our prior probabilities. We also need a theory of tentative acceptance of empirical hypotheses. There is a discussion of subjective and of objective probabilities and of the relationship between them, as well as a discussion of the criteria used in choosing our prior probabilities, such as the principles of indifference and of maximum entropy, and (...)
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  • A philosophy of science for the twenty‐first century.Janet A. Kourany - 2003 - Philosophy of Science 70 (1):1-14.
    Two major reasons feminists are concerned with science relate to science's social effects: that science can be a powerful ally in the struggle for equality for women; and that all too frequently science has been a generator and perpetuator of inequality. This concern with the social effects of science leads feminists to a different mode of appraising science from the purely epistemic one prized by most contemporary philosophers of science. The upshot, I suggest, is a new program for philosophy of (...)
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  • (1 other version)A new program for philosophy of science?Ronald N. Giere - 2003 - Philosophy of Science 70 (1):15-21.
    I contend that Janet Kourany's "A Philosophy of Science for the Twenty-First Century" contains three levels of projects: (1) a naturalistic project, (2) a critical project, and (3) a political project. The naturalistic project is already well established. The critical project is less valued and less established within the profession, but seems a worthy and achievable goal. The political project, I argue, takes one outside the professional pursuit of the philosophy of science. The critical project encompasses both the evaluation of (...)
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  • On the nature and norms of theoretical commitment.Paul Horwich - 1991 - Philosophy of Science 58 (1):1-14.
    It is not uncommon for philosophers to maintain that one is obliged to believe nothing beyond the observable consequences of a successful scientific theory. This doctrine is variously known as instrumentalism, fictionalism, constructive empiricism, theoretical skepticism and the philosophy of "as if". The purpose of the present paper is to subject such forms of scientific antirealism to a two-pronged critique. In the first place it is argued that there is no genuine difference between believing a theory and being disposed to (...)
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  • Valuation and acceptance of scientific hypotheses.Richard C. Jeffrey - 1956 - Philosophy of Science 23 (3):237-246.
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  • Gambling with Truth: An Essay on Induction and the Aims of Science.Isaac Levi - 1967 - Synthese 17 (1):444-448.
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  • On a recent theory of rational acceptance.Ellery Eells - 1983 - Philosophical Studies 44 (3):331 - 343.
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  • A bayesian theory of rational acceptance.Mark Kaplan - 1981 - Journal of Philosophy 78 (6):305-330.
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  • On the seriousness of mistakes.Isaac Levi - 1962 - Philosophy of Science 29 (1):47-65.
    Several authors have recently contended that modern statistical theory provides a powerful argument in favor of the view that if scientists accept or reject hypotheses at all they do so only in a behavioral sense--i.e., in a sense which reduces "accepting P" to "acting on the basis of P relative to an objective O". In this paper, the argument from statistics in favor of a behavioral view is outlined; an interpretation of two statistical procedures (Bayes method and signifigance testing) is (...)
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