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Formalized Conceptual Spaces with a Geometric Representation of Correlations (1801.03929v2)

Published 11 Jan 2018 in cs.AI

Abstract: The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. Instances are represented by points in a similarity space and concepts are represented by convex regions in this space. After pointing out a problem with the convexity requirement, we propose a formalization of conceptual spaces based on fuzzy star-shaped sets. Our formalization uses a parametric definition of concepts and extends the original framework by adding means to represent correlations between different domains in a geometric way. Moreover, we define various operations for our formalization, both for creating new concepts from old ones and for measuring relations between concepts. We present an illustrative toy-example and sketch a research project on concept formation that is based on both our formalization and its implementation.

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Authors (2)
  1. Lucas Bechberger (10 papers)
  2. Kai-Uwe Kühnberger (13 papers)
Citations (4)

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