Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

A central challenge for cognitive science is to explain how abstract concepts are acquired
from limited experience. This has often been framed in terms of a dichotomy between …

This systematic literature review examined the research on prior knowledge and its
activation to ascertain how these terms are defined, what specific techniques have been …

In what sense does a large language model (LLM) have knowledge? We answer by
granting LLMs 'instrumental knowledge': knowledge gained by using next-word generation …

A core tension in models of concept learning is that the model must carefully balance the
tractability of inference against the expressivity of the hypothesis class. Humans, however …

This review provides a critique of David Ausubel's theory of meaningful learning and the use
of advance organizers in teaching. It takes into account the developments in cognition and …

The release of the generative pre-trained transformer (GPT) series has brought artificial
general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again …

Humans and animals have a rich and flexible understanding of the physical world, which
enables them to infer the underlying dynamical trajectories of objects and events, plausible …

This paper focuses on the Audio-Visual Question Answering (AVQA) task that aims to
answer questions derived from untrimmed audible videos. To generate accurate answers …

Accounting for how the human mind represents the internal and external world is a crucial
feature of many theories of human cognition. Central to this question is the distinction …