argument: argument Bayesian Network

argumentR Documentation

argument Bayesian Network

Description

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

Format

A discrete Bayesian network formalizing Walton's re-constructed set of critical questions. Probabilities were given within the referenced paper. The vertices are:

DecisionProcess

(Not based on evidence, Integrative complexity, Absence of integrative complexity);

DeliberativePractice

(FALSE, TRUE);

ExpertAssertsHypothesis

(FALSE, TRUE);

Feedback

(FALSE, TRUE);

GenuineExpertise

(FALSE, TRUE);

Hypothesis

(FALSE, TRUE);

ObjectiveEvidence

(FALSE, TRUE);

RegularPractice

(FALSE, TRUE);

Validity

(High, Medium, High);

WellInformedPractice

(FALSE, TRUE);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Pei, K. N., & Chin, C. S. A. (2023). Towards an empirically informed normative Bayesian scheme-based account of argument from expert opinion. Thinking & Reasoning, 29(4), 726-759.


bnRep documentation built on April 12, 2025, 1:13 a.m.