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arXiv · 1706.04825

Towards Grounding Conceptual Spaces in Neural Representations

Lucas Bechberger·Kai-Uwe Kühnberger
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Abstract

The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. It aims at bridging the gap between symbolic and subsymbolic processing. Instances are represented by points in a high-dimensional space and concepts are represented by convex regions in this space. In this paper, we present our approach towards grounding the dimensions of a conceptual space in latent spaces learned by an InfoGAN from unlabeled data.

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Lucas Bechberger, Kai-Uwe Kühnberger. 2017-06-15. Towards Grounding Conceptual Spaces in Neural Representations. https://arxiv.org/abs/1706.04825

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