Towards an empirically informed normative Bayesian scheme-based account of argument from expert opinion

IF 2.5 3区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Kong-ngai. Pei, Chin-shing Arthur. Chin
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引用次数: 0

Abstract

Abstract This article seeks, first, to show that much of the existing normative work on argument from expert opinion (AEO) is problematic for failing to be properly informed by empirical findings on expert performance. Second, it seeks to show how, with the analytic tool of Bayesian reasoning, the problem diagnosed can be remedied to circumvent some of the problems facing the scheme-based treatment of AEOs. To establish the first contention, we will illustrate how empirical studies on factors conditioning expert reliability can be drawn upon to re-construct. Walton’s critical questions matching the scheme of AEOs. To establish the second contention, we will illustrate how Walton’s re-constructed set of critical questions can be formalized within a Bayesian network. Finally, we will highlight how the specific ways in which the Bayesian framework we propose is both continuous with and distinct from the models of source reliability put forward by theorists like Bovens and Hartmann (2003).
从专家意见出发,以经验为依据的规范贝叶斯方案为基础的论证
本文首先试图表明,许多现有的关于专家意见论证(AEO)的规范性工作都存在问题,因为它们没有得到有关专家绩效的实证研究结果的适当通知。其次,它试图展示如何使用贝叶斯推理的分析工具来纠正诊断出的问题,以规避基于方案的aeo治疗所面临的一些问题。为了建立第一个论点,我们将说明如何利用影响专家可靠性的因素的实证研究来重建。沃尔顿的关键问题与aeo的方案相匹配。为了建立第二个论点,我们将说明沃尔顿重新构建的一组关键问题如何在贝叶斯网络中形式化。最后,我们将强调我们提出的贝叶斯框架的具体方式如何与Bovens和Hartmann(2003)等理论家提出的源可靠性模型既连续又不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Thinking & Reasoning
Thinking & Reasoning PSYCHOLOGY, EXPERIMENTAL-
CiteScore
6.50
自引率
11.50%
发文量
25
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