15 citations · 34 across the 9 of their papers we have counts for
10 papers
Grounding Psychological Shape Space in Convolutional Neural Networks
Lucas Bechberger, Kai-Uwe Kühnberger
Shape information is crucial for human perception and cognition, and should therefore also play a role in cognitive AI systems. We employ the interdisciplinary framework of concept…
Generalizing Psychological Similarity Spaces to Unseen Stimuli
Lucas Bechberger, Kai-Uwe Kühnberger
The cognitive framework of conceptual spaces proposes to represent concepts as regions in psychological similarity spaces. These similarity spaces are typically obtained through mu…
Formal Ways for Measuring Relations between Concepts in Conceptual Spaces
Lucas Bechberger, Kai-Uwe Kühnberger
The highly influential framework of conceptual spaces provides a geometric way of representing knowledge. Instances are represented by points in a high-dimensional space and concep…
Mapping Images to Psychological Similarity Spaces Using Neural Networks
Lucas Bechberger, Elektra Kypridemou
The cognitive framework of conceptual spaces bridges the gap between symbolic and subsymbolic AI by proposing an intermediate conceptual layer where knowledge is represented geomet…
Formalized Conceptual Spaces with a Geometric Representation of Correlations
Lucas Bechberger, Kai-Uwe Kühnberger
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…
The Size of a Hyperball in a Conceptual Space
Lucas Bechberger
The cognitive framework of conceptual spaces [3] provides geometric means for representing knowledge. A conceptual space is a high-dimensional space whose dimensions are partitione…