From Fly Detectors to Action Control: Representations in Reinforcement Learning

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Sammanfattning

According to radical enactivists, cognitive sciences should abandon the representational framework. Perceptuomotor cognition and action control are often provided as paradigmatic examples of nonrepresentational cognitive phenomena. In this article, we illustrate how motor and action control are studied in research that uses reinforcement learning algorithms. Crucially, this approach can be given a representational interpretation. Hence, reinforcement learning provides a way to explicate action-oriented views of cognitive systems in a representational way.

Originalspråkengelska
TidskriftPhilosophy of Science
Volym88
Utgåva5
Sidor (från-till)1045-1054
Antal sidor10
ISSN0031-8248
DOI
StatusPublicerad - dec. 2021
MoE-publikationstypA1 Tidskriftsartikel-refererad

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