Using habituation as a simple and fundamental learning mechanism in an embodied artificial agent

Habituation, a non-associative learning widely observed across phylogeny, is fundamental for adaptation and, thus, survival of living organisms. This paper investigates the main characteristics of habituation in order to present three new computational models inspired by habituation. We develop thes...

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Bibliographic Details
Published in:Adaptive behavior 2023-08, Vol.31 (4), p.299-321
Main Authors: Gillard, Tristan, Fix, Jérémy, Dutech, Alain
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Science
Machine Learning
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Summary:Habituation, a non-associative learning widely observed across phylogeny, is fundamental for adaptation and, thus, survival of living organisms. This paper investigates the main characteristics of habituation in order to present three new computational models inspired by habituation. We develop these models as part of the Iterant Deformable Sensorimotor Medium (IDSM), a recently developed abstract model of behavior formation. The characteristics of these models are studied and analyzed. Our long-term objective is to research new unsupervised learning mechanisms for artificial learning agents.
ISSN:1059-7123
1741-2633
DOI:10.1177/10597123221116183