Using Conceptual Spaces for Artificial Intelligence
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https://doi.org/10.48693/435
https://doi.org/10.48693/435
Full metadata record
DC Field | Value | Language |
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dc.contributor.advisor | Prof. Dr. Kai-Uwe Kühnberger | ger |
dc.creator | Bechberger, Lucas | - |
dc.date.accessioned | 2023-12-01T17:21:19Z | - |
dc.date.available | 2023-12-01T17:21:19Z | - |
dc.date.issued | 2023-12-01T17:21:19Z | - |
dc.identifier.uri | https://doi.org/10.48693/435 | - |
dc.identifier.uri | https://osnadocs.ub.uni-osnabrueck.de/handle/ds-2023120110100 | - |
dc.description.abstract | 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. | eng |
dc.rights | Attribution 3.0 Germany | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/de/ | * |
dc.subject | Conceptual Spaces | eng |
dc.subject | Machine Learning | eng |
dc.subject | Multidimensional Scaling | eng |
dc.subject | Cognitive AI | eng |
dc.subject | Symbol Grounding | eng |
dc.subject.ddc | 004 - Informatik | ger |
dc.title | Using Conceptual Spaces for Artificial Intelligence | eng |
dc.type | Dissertation oder Habilitation [doctoralThesis] | - |
thesis.location | Osnabrück | - |
thesis.institution | Universität | - |
thesis.type | Dissertation [thesis.doctoral] | - |
thesis.date | 2023-03-14 | - |
dc.contributor.referee | Prof. Dr. Antonio Lieto | ger |
dc.contributor.referee | Prof. Dr. Rob Goldstone | ger |
dc.subject.bk | 54.72 - Künstliche Intelligenz | ger |
dc.subject.bk | 54.74 - Maschinelles Sehen | ger |
dc.subject.ccs | I.2.4 - Knowledge Representation Formalisms and Methods | ger |
dc.subject.ccs | I.2.10 - Vision and Scene Understanding | ger |
dc.subject.ccs | I.2.4 - Knowledge Representation Formalisms and Methods | ger |
dc.subject.ccs | I.2.6 - Learning | ger |
Appears in Collections: | FB08 - E-Dissertationen |
Files in This Item:
File | Description | Size | Format | |
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thesis_bechberger.pdf | Präsentationsformat | 44,53 MB | Adobe PDF | thesis_bechberger.pdf View/Open |
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