Using Conceptual Spaces for Artificial Intelligence

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dc.contributor.advisorProf. Dr. Kai-Uwe Kühnbergerger
dc.creatorBechberger, Lucas-
dc.description.abstractThis dissertation makes the cognitive framework of conceptual spaces (mainly developed by Peter Gärdenfors) usable for practical applications in cognitive AI by providing a thorough mathematical formalization of the framework along with an open source implementation, by proposing and evaluating a novel hybrid approach for connecting raw sensory information to the conceptual layer of representation, and by discussing various learning mechanisms for identifying conceptual regions. It provides a tight integration of various topics such as cognitive AI, neural-symbolic integration, deep representation learning, multidimensional scaling on psychological dissimilarity ratings, and commonsense reasoning.eng
dc.rightsAttribution 3.0 Germany*
dc.subjectConceptual Spaceseng
dc.subjectMachine Learningeng
dc.subjectMultidimensional Scalingeng
dc.subjectCognitive AIeng
dc.subjectSymbol Groundingeng
dc.subject.ddc004 - Informatikger
dc.titleUsing Conceptual Spaces for Artificial Intelligenceeng
dc.typeDissertation oder Habilitation [doctoralThesis]-
thesis.typeDissertation [thesis.doctoral]-
dc.contributor.refereeProf. Dr. Antonio Lietoger
dc.contributor.refereeProf. Dr. Rob Goldstoneger
dc.subject.bk54.72 - Künstliche Intelligenzger
dc.subject.bk54.74 - Maschinelles Sehenger
dc.subject.ccsI.2.4 - Knowledge Representation Formalisms and Methodsger
dc.subject.ccsI.2.10 - Vision and Scene Understandingger
dc.subject.ccsI.2.4 - Knowledge Representation Formalisms and Methodsger
dc.subject.ccsI.2.6 - Learningger
Enthalten in den Sammlungen:FB08 - E-Dissertationen

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