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The added value of affective processes for models of human cognition and learning

Published online by Cambridge University Press:  23 September 2024

Yoann Stussi Open the ORCID record for Yoann Stussi [Opens in a new window] ,
Daniel Dukes Open the ORCID record for Daniel Dukes [Opens in a new window]  and
David Sander Open the ORCID record for David Sander [Opens in a new window]
Yoann Stussi*
Affiliation:
Swiss Center for Affective Sciences, Campus Biotech, University of Geneva, Geneva, Switzerland [email protected] [email protected] [email protected] https://www.unige.ch/fapse/e3lab/members1/senior-researchers-and-lecturers/dr-yoann-stussi https://dukes.space/ https://www.unige.ch/fapse/e3lab/director/ Department of Psychology, FPSE, University of Geneva, Geneva, Switzerland
Daniel Dukes
Affiliation:
Swiss Center for Affective Sciences, Campus Biotech, University of Geneva, Geneva, Switzerland [email protected] [email protected] [email protected] https://www.unige.ch/fapse/e3lab/members1/senior-researchers-and-lecturers/dr-yoann-stussi https://dukes.space/ https://www.unige.ch/fapse/e3lab/director/
David Sander
Affiliation:
Swiss Center for Affective Sciences, Campus Biotech, University of Geneva, Geneva, Switzerland [email protected] [email protected] [email protected] https://www.unige.ch/fapse/e3lab/members1/senior-researchers-and-lecturers/dr-yoann-stussi https://dukes.space/ https://www.unige.ch/fapse/e3lab/director/ Department of Psychology, FPSE, University of Geneva, Geneva, Switzerland
*
*Corresponding author.
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Abstract

Building on the affectivism approach, we expand on Binz et al.'s meta-learning research program by highlighting that emotion and other affective phenomena should be key to the modeling of human learning. We illustrate the added value of affective processes for models of learning across multiple domains with a focus on reinforcement learning, knowledge acquisition, and social learning.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 47 , 2024 , e165
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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