Concept learning is challenging in part because the meanings of many concepts depend on
their relationships to other concepts. Learning these concepts in isolation can be difficult, but …

Historically, accounts of object representation and perceived similarity have focused on
intrinsic features. Although more recent accounts have explored how objects, scenes, and …

In this paper, we outline a comprehensive approach to composed analogies based on the
theory of conceptual spaces. Our algorithmic model understands analogy as a search …

This article examines relational category learning in light of 2 influential theories of concept
acquisition: the structure-mapping theory of analogy and theories of feature-based category …

In this paper, we propose a cognitive semantic approach to represent part–whole relations.
We base our proposal on the theory of conceptual spaces, focusing on prototypical …

Abstract or relational stimulus processing requires an organism to appreciate the
interrelations between or among two or more stimuli (eg, same or different, less than or …

Learning new concepts is critical to making sense of the world. Research on analogical
reasoning suggests structure mapping and schema induction can enable discovery of new …

Categorization is not an exclusively human trait but can been found everywhere throughout
the animal kingdom. This suggests that sorting similar stimuli into classes is an ability that …

When teaching a movement to novices, communicating knowledge about the movement by
comparison with a similar, well-known concept (an analogy) may be effective, as no other …

Abstract Thinking outside the box is a nice metaphor, but we are so used to putting things in
boxes that it may seem essential to our way of thinking. This idea is enforced by the standard …