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Casting inference to the best explanation's lot with active inference

Bibliographic Data

ID20141901
AuthorsMajid D Beni (0000-0002-8719-0825, Department of Philosophy Middle East Technical University Ankara Turkey, corresponding author)
Year2023
Volume89
Issue2
Pages188-203
Publication date2023-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTheoria (JOURNAL)
Journal identifiersISSN: 0040-5825 • E-ISSN: 1755-2567
PublisherWiley (PUBLISHER • GB)
DOI10.1111/theo.12455
OpenAlexW4319000888
LanguageEN
References cited41

This paper draws on the resources of computational neuroscience (an account of active inference under the free energy principle) to address Bas van Fraassen's bad lot objection to the inference to the best explanation (IBE). The general assumption of this paper is that IBE is a finessed form of active inferences that self‐organising systems perform to maximise the chance of their survival. Under this assumption, the paper aims to establish the following points: first, the capacity to learn to perform explanatory inferences comes with evolutionary privileges; second, adaptive actions guide beliefs and beliefs are action‐oriented; and third, IBE is not inconsistent with (approximate) Bayesianism but plays a heuristic role to it

Action (physics) · Cognitive science · Epistemology · Free energy principle · Heuristic · Inference · Machine learning · Mathematical economics · Artificial Intelligence · Computer Science · Embodied and Extended Cognition · Mathematics · Neural dynamics and brain function · Philosophy · Philosophy and History of Science · Psychology

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