A Comprehensive Implementation of Conceptual Spaces
This work provides a practical tool for AI and cognitive science researchers interested in geometric knowledge representation, though it is incremental as it builds on existing formalizations.
The paper tackles the problem of implementing the conceptual spaces framework for geometric knowledge representation, resulting in a comprehensive implementation capable of representing concepts with inter-domain correlations and offering various operations on these concepts.
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. Instances are represented by points and concepts are represented by regions in a (potentially) high-dimensional space. Based on our recent formalization, we present a comprehensive implementation of the conceptual spaces framework that is not only capable of representing concepts with inter-domain correlations, but that also offers a variety of operations on these concepts.