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

Kong Ngai Pei, Chin Shing Arthur Chin

Research output: Contribution to journalArticlepeer-review

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).

Original languageEnglish
JournalThinking & Reasoning
DOIs
Publication statusPublished - 19 Oct 2022

Keywords

  • Arguments from expert opinion
  • Bayesian networks
  • Source reliability

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