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dc.contributor.authorEgri-Nagy, Attila
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2011-08-18T13:01:02Z
dc.date.available2011-08-18T13:01:02Z
dc.date.issued2006
dc.identifier.citationEgri-Nagy , A & Nehaniv , C L 2006 , ' Making sense of the sensory data - coordinate systems by hierarchical decomposition ' , Lecture Notes in Computer Science , vol. 4253 , pp. 333-340 . https://doi.org/10.1007/11893011_43
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 229553
dc.identifier.otherPURE UUID: 0bb9ee98-4dca-4beb-a766-4c8fa883141a
dc.identifier.otherScopus: 33750727742
dc.identifier.urihttp://hdl.handle.net/2299/6308
dc.description"The original publication is available at www.springerlink.com" Copyright Springer
dc.description.abstractHaving the right sensory channels is an important ingredient for building an autonomous agent, but we still have the problem of making sense of the sensory data for the agent. This is the basic problem of artificial intelligence. Here we propose an algebraic method for generating abstract coordinate system representations of the environment based on the agent’s actions. These internal representations can be refined and regenerated during the lifespan of the agent.en
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science
dc.rightsOpen
dc.titleMaking sense of the sensory data - coordinate systems by hierarchical decompositionen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2006
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1007/11893011_43
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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