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Found 10 papers, 6 papers with code
Grounding Psychological Shape Space in Convolutional Neural Networks
Shape information is crucial for human perception and cognition, and should therefore also play a role in cognitive AI systems.
Generalizing Psychological Similarity Spaces to Unseen Stimuli
The cognitive framework of conceptual spaces proposes to represent concepts as regions in psychological similarity spaces.
Mapping Images to Psychological Similarity Spaces Using Neural Networks
The cognitive framework of conceptual spaces bridges the gap between symbolic and subsymbolic AI by proposing an intermediate conceptual layer where knowledge is represented geometrically.
Formal Ways for Measuring Relations between Concepts in Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge.
Formalized Conceptual Spaces with a Geometric Representation of Correlations
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge.
A Comprehensive Implementation of Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge.
Measuring Relations Between Concepts In Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge.
The Size of a Hyperball in a Conceptual Space
In this paper, we derive a formula for the size of a hyperball under the combined metric of a conceptual space.
A Thorough Formalization of Conceptual Spaces
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge.
Towards Grounding Conceptual Spaces in Neural Representations
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge.
