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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
The added value of affective processes for models of human cognition and learning
Yoann Stussi1,2, Daniel Dukes1, David Sander1,2
1Swiss Center for Affective Sciences, Campus Biotech, University of Geneva, Geneva, Switzerland yoann.stussi@unige.ch daniel.dukes@unige.ch david.sander@unige.chhttps://www.unige.ch/fapse/e3lab/members1/senior-researchers-and-lecturers/dr-yoann-stussihttps://dukes.space/https://www.unige.ch/fapse/e3lab/director/.
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.
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