Exploring Sensitization in the Context of Extending the Behavior of an Artificial Agent
Résumé
Sensitization, a non-associative learning widely observed across phylogeny, is fundamental for adaptation and, thus, survival of living organisms. This paper investigates one form of sensitization, namely pseudo-conditioning, in order to present a new computational model inspired by its characteristics. We develop this model as part of the Iterant Deformable Sensorimotor Medium (IDSM), a recently developed abstract model of sensorimotor behavior formation. The characteristics of the presented model are studied and analyzed in the light of our long term objective of investigating new unsupervised learning mechanisms for artificial autonomous agents.
Mots clés
Non-associative Learning
Sensitization
Pseudo-conditioning
Artificial Agent
Adaptive Behavior Acquisition
Embodiement
Non-associative learning sensitization pseudo-conditioning artificial agent adaptive behavior acquisition embodiment
Non-associative learning
sensitization
pseudo-conditioning
artificial agent
adaptive behavior acquisition
embodiment
Domaines
Intelligence artificielle [cs.AI]Origine | Fichiers produits par l'(les) auteur(s) |
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