TY - JOUR
T1 - Towards an empirically informed normative Bayesian scheme-based account of argument from expert opinion
AU - Pei, Kong Ngai
AU - Chin, Chin Shing Arthur
N1 - Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/10/19
Y1 - 2022/10/19
N2 - 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).
AB - 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).
KW - Arguments from expert opinion
KW - Bayesian networks
KW - Source reliability
UR - http://www.scopus.com/inward/record.url?scp=85140102920&partnerID=8YFLogxK
U2 - 10.1080/13546783.2022.2134926
DO - 10.1080/13546783.2022.2134926
M3 - Article
AN - SCOPUS:85140102920
SN - 1464-0708
JO - Thinking & Reasoning
JF - Thinking & Reasoning
ER -