The presence of complementary information across multiple sensory or motor modalities
during learning, referred to as multimodal enrichment, can markedly benefit learning …

The scope of human learning and development poses a radical challenge for cognitive
science. We propose that developmental theories can address this challenge by adopting …

Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …

Throughout their lives, humans seem to learn a variety of rules for things like applying
category labels, following procedures, and explaining causal relationships. These rules are …

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 …

The ability to learn abstract concepts is a powerful component of human cognition. It has
been argued that variable binding is the key element enabling this ability, but the …

Each of our theories of mental representation provides some insight into how the mind
works. However, these insights often seem incompatible, as the debates between symbolic …

Vision and learning have long been considered to be two areas of research linked only
distantly. However, recent developments in vision research have changed the conceptual …

We give a model of how to infer natural language rules by doing experiments. Themodel
integrates Large Language Models (LLMs) with Monte Carlo algorithms forprobabilistic …

A major goal of linguistics and cognitive science is to understand what class of learning
systems can acquire natural language. Until recently, the computational requirements of …