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  1. Choices, Values, and Frames.Daniel Kahneman & Amos Tversky (eds.) - 2000 - Cambridge University Press.
    This book presents the definitive exposition of 'prospect theory', a compelling alternative to the classical utility theory of choice. Building on the 1982 volume, Judgement Under Uncertainty, this book brings together seminal papers on prospect theory from economists, decision theorists, and psychologists, including the work of the late Amos Tversky, whose contributions are collected here for the first time. While remaining within a rational choice framework, prospect theory delivers more accurate, empirically verified predictions in key test cases, as well as (...)
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  • Values and Uncertainties in the Predictions of Global Climate Models.Eric Winsberg - 2012 - Kennedy Institute of Ethics Journal 22 (2):111-137.
    Over the last several years, there has been an explosion of interest and attention devoted to the problem of Uncertainty Quantification (UQ) in climate science—that is, to giving quantitative estimates of the degree of uncertainty associated with the predictions of global and regional climate models. The technical challenges associated with this project are formidable, and so the statistical community has understandably devoted itself primarily to overcoming them. But even as these technical challenges are being met, a number of persistent conceptual (...)
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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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  • Valuation and acceptance of scientific hypotheses.Richard C. Jeffrey - 1956 - Philosophy of Science 23 (3):237-246.
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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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