Peeperkorn, Max, Saunders, Rob, Bown, Oliver, Jordanous, Anna (2022) Mechanising Conceptual Spaces using Variational Autoencoders. In: Proceedings of the thirteenth International Conference on Computational Creativity. . (KAR id:95665)
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Abstract
In this pilot study, we explore the Variational Autoencoder as a computational model for conceptual spaces in a social interaction context. Conceptually, the Variational Autoencoder is a natural fit for this purpose. We apply this idea in an agent-based social creativity simulation to explore and understand
the effects of social interactions on adapting conceptual spaces. We demonstrate a simple simulation setup and run experiments with a focus on establishing a baseline. While ongoing work needs to identify if adaption was appropriate, the results so far suggest that the Variational Autoencoder appears to adapt to new artefacts and has potential for modelling conceptual spaces.
Item Type: | Conference or workshop item (Paper) |
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Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Max Peeperkorn |
Date Deposited: | 04 Jul 2022 14:01 UTC |
Last Modified: | 28 May 2023 09:45 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/95665 (The current URI for this page, for reference purposes) |
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