Literature DB >> 26905647

Explanatory pluralism: An unrewarding prediction error for free energy theorists.

Matteo Colombo1, Cory Wright2.   

Abstract

Courtesy of its free energy formulation, the hierarchical predictive processing theory of the brain (PTB) is often claimed to be a grand unifying theory. To test this claim, we examine a central case: activity of mesocorticolimbic dopaminergic (DA) systems. After reviewing the three most prominent hypotheses of DA activity-the anhedonia, incentive salience, and reward prediction error hypotheses-we conclude that the evidence currently vindicates explanatory pluralism. This vindication implies that the grand unifying claims of advocates of PTB are unwarranted. More generally, we suggest that the form of scientific progress in the cognitive sciences is unlikely to be a single overarching grand unifying theory.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anhedonia; Dopamine; Explanation; Explanatory pluralism; Free energy; Incentive salience; Predictive processing; Reduction; Reward prediction error; Unification

Mesh:

Year:  2016        PMID: 26905647     DOI: 10.1016/j.bandc.2016.02.003

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  5 in total

1.  Understanding Design Features of Music and Language: The Choric/Dialogic Distinction.

Authors:  Felix Haiduk; W Tecumseh Fitch
Journal:  Front Psychol       Date:  2022-04-22

2.  Unification by Fiat: Arrested Development of Predictive Processing.

Authors:  Piotr Litwin; Marcin Miłkowski
Journal:  Cogn Sci       Date:  2020-07

3.  Making Sense of the World: Infant Learning From a Predictive Processing Perspective.

Authors:  Moritz Köster; Ezgi Kayhan; Miriam Langeloh; Stefanie Hoehl
Journal:  Perspect Psychol Sci       Date:  2020-03-13

4.  Toward an Embodied, Embedded Predictive Processing Account.

Authors:  Elmarie Venter
Journal:  Front Psychol       Date:  2021-01-29

5.  On the Inherent Instability of Biocognition: Toward New Probability Models and Statistical Tools.

Authors:  Rodrick Wallace; Irina Leonova; Saikat Gochhait
Journal:  Entropy (Basel)       Date:  2022-08-03       Impact factor: 2.738

  5 in total

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