This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …

Both cognitive and educational psychology literature strive to investigate human category
and concept learning. However, both literatures focus on different phenomena and often use …

In this paper we tackle the problem of Generalized Category Discovery (GCD). Specifically,
given a dataset with labelled and unlabelled images, the task is to cluster all images in the …

Students generate internal feedback by comparing their current knowledge against some
reference information. That information might be planned for by teachers–usually as …

This article proposes a conceptual mapping to outline salient properties and relations that
allow for a knowledge transfer from the well-established greenwashing phenomenon to the …

Recent technological advances, especially in the field of machine learning, provide
astonishing progress on the road towards artificial general intelligence. However, tasks in …

Machine learning models need to provide contrastive explanations, since people often seek
to understand why a puzzling prediction occurred instead of some expected outcome …

Analogies have been central to creative problem-solving throughout the history of science
and technology. As the number of scientific articles continues to increase exponentially …

" Mahoney's starting point is the problem of essentialism in social science. Essentialism--the
belief that the members of a category possess hidden properties (" essences") that make …

Many influential theories of organization rest on an analogical foundation: we think of the
organization as if it were a governance structure, a nexus of contracts, a social network, or …