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Inference to the Best Explanation versus Bayes’s Rule in a Social Setting

Tijdschriftbijdrage - Tijdschriftartikel

This paper compares inference to the best explanation with Bayes’ rule in a social setting, specifically, in the context of a variant of the Hegselmann–Krause model in which agents do not only update their belief states on the basis of evidence they receive directly from the world but also take into account the belief states of their fellow agents. So far, the update rules mentioned have been studied only in an individualistic setting, and it is known that in such a setting both have their strengths as well as their weaknesses. Here, it is shown that in a social setting, inference to the best explanation outperforms Bayes’ rule according to every desirable criterion.
Tijdschrift: The British Journal for the Philosophy of Science
ISSN: 0007-0882
Issue: 2
Volume: 68
Pagina's: 535 - 570
Jaar van publicatie:2017
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:6
CSS-citation score:3
Auteurs:International
Authors from:Higher Education
Toegankelijkheid:Open