Using Conceptual Spaces for Artificial Intelligence
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https://doi.org/10.48693/435
https://doi.org/10.48693/435
| Title: | Using Conceptual Spaces for Artificial Intelligence |
| Authors: | Bechberger, Lucas |
| Thesis advisor: | Prof. Dr. Kai-Uwe Kühnberger |
| Thesis referee: | Prof. Dr. Antonio Lieto Prof. Dr. Rob Goldstone |
| 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. |
| URL: | https://doi.org/10.48693/435 https://osnadocs.ub.uni-osnabrueck.de/handle/ds-2023120110100 |
| Subject Keywords: | Conceptual Spaces; Machine Learning; Multidimensional Scaling; Cognitive AI; Symbol Grounding |
| Issue Date: | 1-Dec-2023 |
| License name: | Attribution 3.0 Germany |
| License url: | http://creativecommons.org/licenses/by/3.0/de/ |
| Type of publication: | Dissertation oder Habilitation [doctoralThesis] |
| Appears in Collections: | FB08 - E-Dissertationen |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| thesis_bechberger.pdf | Präsentationsformat | 44,53 MB | Adobe PDF | thesis_bechberger.pdf  View/Open |
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