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The argument from inductive risk attempts to show that practical and ethical costs of errors should influence standards of evidence for accepting scientific claims. A common objection charges that this argument presupposes a behavioral theory of acceptance that is inappropriate for science. I respond by showing that the argument from inductive risk is supported by a nonbehavioral theory of acceptance developed by Cohen, which defines acceptance in terms of premising. Moreover, I argue that theories designed to explain how acceptance can (...) |
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This article discusses Sven Ove Hansson’s corpus model for the influence of values (in particular, non-epistemic ones) in the hypothesis acceptance/rejection phase of scientific inquiry. This corpus model is based on Hansson’s concepts of scientific corpus and science ‘in the large sense’. I first present Hansson’s corpus model of value influence with some introductory comments about its origins, a detailed presentation of the model with a new terminology, an analysis of its limits, and an appreciation of its handling of controversial (...) |
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Central to the Rawls–Harsanyi dispute is the question of whether the core modeling device of Rawls' theory of justice, the original position, justifies Rawls' principles of justice, as Rawls suggests, or whether it justifies the average utility principle, as Harsanyi suggests. Many commentators agree with Harsanyi and consider this dispute to be primarily about the correct application of normative decision theory to Rawls' original position. I argue that, if adequately conceived, the Rawls–Harsanyi dispute is not primarily a dispute about the (...) |
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Harsanyi defends utilitarianism by means of an axiomatic proof and by what he calls the 'equiprobability model'. Both justifications of utilitarianism aim to show that utilitarian ethics can be derived from Bayesian rationality and some weak moral constraints on the reasoning of rational agents. I argue that, from the perspective of Bayesian agents, one of these constraints, the impersonality constraint, is not weak at all if its meaning is made precise, and that generally, it even contradicts individual rational agency. Without (...) |
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In pure science, the standard approach to non-epistemic values is to exclude them as far as possible from scientific deliberations. When science is applied to practical decisions, non-epistemic values cannot be excluded. Instead, they have to be combined with scientific information in a way that leads to practically optimal decisions. A normative model is proposed for the processing of information in both pure and applied science. A general-purpose corpus of scientific knowledge, with high entry requirements, has a central role in (...) |
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