From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning.
Trends Cogn Sci
; 24(12): 981-993, 2020 12.
Article
in English
| MEDLINE | ID: covidwho-894243
ABSTRACT
Recent work in cognitive science has uncovered a diversity of explanatory values, or dimensions along which we judge explanations as better or worse. We propose a Bayesian account of these values that clarifies their function and shows how they fit together to guide explanation-making. The resulting taxonomy shows that core values from psychology, statistics, and the philosophy of science emerge from a common mathematical framework and provide insight into why people adopt the explanations they do. This framework not only operationalizes the explanatory virtues associated with, for example, scientific argument-making, but also enables us to reinterpret the explanatory vices that drive phenomena such as conspiracy theories, delusions, and extremist ideologies.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Problem Solving
/
Cognitive Science
/
Judgment
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Trends Cogn Sci
Journal subject:
Psychology
Year:
2020
Document Type:
Article
Affiliation country:
J.tics.2020.09.013
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