Validation of geometric conceptual-space representations against expert knowledge
Develop quantitative evaluation protocols to validate geometric conceptual-space representations and trajectory-based concept recognition against human expert knowledge, establishing reliability and generalisability across large annotated datasets.
References
The problem of automatically discovering quality dimensions for abstract concepts, learning concept boundaries from observational data, and validating geometric representations against human expert knowledge represents significant open research questions for both artificial intelligence and conceptual spaces theory.
— Abstract Concept Modelling in Conceptual Spaces: A Study on Chess Strategies
(2601.21771 - Banaee et al., 29 Jan 2026) in Discussion — Subsection “Challenges and Implications”