241 citations · 260 across the 4 of their papers we have counts for
7 papers
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised
Viviane Clay, Peter König, Gordon Pipa +1
Most artificial neural networks used for object detection and recognition are trained in a fully supervised setup. This is not only very resource consuming as it requires large dat…
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…
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader +11
The study and understanding of human behaviour is relevant to computer science, artificial intelligence, neural computation, cognitive science, philosophy, psychology, and several…
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…
A Thorough Formalization of 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…