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Anchoring Symbols to Percepts in the Fluent Calculus

dc.contributor.authorFichtner, Matthias
dc.date.accessioned2018-01-08T09:14:52Z
dc.date.available2018-01-08T09:14:52Z
dc.date.issued2011
dc.description.abstractThe knowledge representation of an embodied, intelligent, cognitive agent typically relies on symbols denoting objects of the world on the top level and perceptual, structured data on the bottom level. The process of determining and maintaining the correct connection between a symbolic object identifier and its perceptual image, both referring to the same physical object, is called symbol anchoring.The dissertation presented here suggests a formal and general approach to the symbol anchoring problem, which enhances previous approaches in terms of generality and expressiveness.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11187
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 25, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCognitive robotics
dc.subjectKnowledge representation
dc.subjectLogic
dc.subjectSymbol anchoring problem
dc.titleAnchoring Symbols to Percepts in the Fluent Calculus
dc.typeText/Journal Article
gi.citation.endPage80
gi.citation.startPage77

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