argument {bnRep} | R 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.
[Package bnRep version 0.0.1 Index]