Titel:	Using Conceptual Spaces for Artificial Intelligence
Autor(en):	Bechberger, Lucas
Erstgutachter:	Prof. Dr. Kai-Uwe Kühnberger
Zweitgutachter:	Prof. Dr. Antonio Lieto Prof. Dr. Rob Goldstone
Zusammenfassung:	This 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.
URL:	https://doi.org/10.48693/435 https://osnadocs.ub.uni-osnabrueck.de/handle/ds-2023120110100
Schlagworte:	Conceptual Spaces; Machine Learning; Multidimensional Scaling; Cognitive AI; Symbol Grounding
Erscheinungsdatum:	1-Dez-2023
Lizenzbezeichnung:	Attribution 3.0 Germany
URL der Lizenz:	http://creativecommons.org/licenses/by/3.0/de/
Publikationstyp:	Dissertation oder Habilitation [doctoralThesis]
Enthalten in den Sammlungen:	FB08 - E-Dissertationen

Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons