A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition

Publication typeJournal Article
Publication date2022-11-29
scimago Q1
wos Q2
SJR1.339
CiteScore7.8
Impact factor3.4
ISSN09246495, 15728641
Artificial Intelligence
Philosophy
Abstract

Predictive processing (PP) and embodied cognition (EC) have emerged as two influential approaches within cognitive science in recent years. Not only have PP and EC been heralded as “revolutions” and “paradigm shifts” but they have motivated a number of new and interesting areas of research. This has prompted some to wonder how compatible the two views might be. This paper looks to weigh in on the issue of PP-EC compatibility. After outlining two recent proposals, I argue that further clarity can be achieved on the issue by considering a model of scientific progress. Specifically, I suggest that Larry Laudan’s “problem solving model” can provide important insights into a number of outstanding challenges that face existing accounts of PP-EC compatibility. I conclude by outlining additional implications of the problem solving model for PP and EC more generally.

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GOST Copy
Kersten L. A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition // Minds and Machines. 2022.
GOST all authors (up to 50) Copy
Kersten L. A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition // Minds and Machines. 2022.
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TY - JOUR
DO - 10.1007/s11023-022-09617-7
UR - https://doi.org/10.1007/s11023-022-09617-7
TI - A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition
T2 - Minds and Machines
AU - Kersten, Luke
PY - 2022
DA - 2022/11/29
PB - Springer Nature
SN - 0924-6495
SN - 1572-8641
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2022_Kersten,
author = {Luke Kersten},
title = {A Model Solution: On the Compatibility of Predictive Processing and Embodied Cognition},
journal = {Minds and Machines},
year = {2022},
publisher = {Springer Nature},
month = {nov},
url = {https://doi.org/10.1007/s11023-022-09617-7},
doi = {10.1007/s11023-022-09617-7}
}