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dc.contributor.authorCapdepuy, P.
dc.contributor.authorPolani, D.
dc.contributor.authorNehaniv, C.L.
dc.identifier.citationCapdepuy , P , Polani , D & Nehaniv , C L 2007 , ' Grounding Action-Selection in Event-Based Anticipation ' , Lecture Notes in Computer Science , vol. 4648 , pp. 253-262 .
dc.identifier.otherPURE: 102471
dc.identifier.otherPURE UUID: d9f0d526-c33c-4aa0-abc3-a04a191c218c
dc.identifier.otherdspace: 2299/3158
dc.identifier.otherScopus: 38049051083
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098043
dc.description“The original publication is available at”. Copyright Springer [Full text of this article is not available in the UHRA]
dc.description.abstractAnticipation is one of the key aspects involved in flexible and adaptive behavior. The ability for an autonomous agent to extract a relevant model of its coupling with the environment and of the environment itself can provide it with a strong advantage for survival. In this work we develop an event-based anticipation framework for performing latent learning and we provide two mathematical tools to identify relevant relationships between events. These tools allow us to build a predictive model which is then embedded in an action-selection architecture to generate adaptive behavior. We first analyze some of the properties of the model in simple learning tasks. Its efficiency is evaluated in a more complex task where the agent has to adapt to a changing environment. In the last section we discuss extensions of the model presented.en
dc.relation.ispartofLecture Notes in Computer Science
dc.titleGrounding Action-Selection in Event-Based Anticipationen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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