推理与归纳风险

L. M. Johnson
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引用次数: 0

摘要

几种类型的推断在脑损伤的诊断和预后中是常见的。这些推论虽然是必要的,但却引入了认识上的不确定性。本章详细介绍了各种推论,并考虑了Richard Rudner在20世纪50年代引入的归纳风险的概念,以及归纳风险的问题:给定不确定性,接受科学(或医学)假设的适当的证据认知标准是什么?归纳风险的两个原则被提出,以解决在意识障碍(和其他医学背景)中出现的归纳风险问题:第一原则要求我们将认知风险与伦理风险水平结合起来,从而限制可接受的认知风险。第二条原则告诉我们,要将道德风险与认知风险挂钩,从而将道德风险限制在与认知不确定性相称的水平上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inference and Inductive Risk
Several types of inferences are common in the diagnosis and prognosis of brain injuries. These inferences, although necessary, introduce epistemic uncertainty. This chapter details the various inferences and considers the concept of inductive risk, introduced by Richard Rudner in the 1950s, and the problem of inductive risk: given uncertainty, what is the appropriate epistemic standard of evidence for accepting a scientific (or medical) hypothesis? Two principles of inductive risk are proposed to tackle the problem of inductive risk present in disorders of consciousness (and other medical contexts): the First Principle calls on us to index epistemic risk-taking to the level of ethical risk, thus constraining acceptable epistemic risk-taking. The Second Principle tells us to index ethical risk-taking to the level of epistemic risk, thus constraining ethical risk-taking to a level commensurate with epistemic uncertainty.
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