We explore the problem of Incremental Generalized Category Discovery (IGCD). This is a
challenging category-incremental learning setting where the goal is to develop models that …

Humans can learn to perform multiple tasks in succession over the lifespan (“continual”
learning), whereas current machine learning systems fail. Here, we investigated the …

The notion of a compositional language of thought (LOT) has been central in computational
accounts of cognition from earliest attempts (Boole, 1854; Fodor, 1975) to the present day …

Objective: PREDICT-HD is a large-scale international study of people with the Huntington
disease (HD) CAG-repeat expansion who are not yet diagnosed with HD. The objective of …

Pervasive Information Architecture explains the 'why'and 'how'of pervasive information
architecture (IA) through detailed examples and real-world stories. It offers insights about …

Because learned associations are quickly renewed following extinction, the extinction
process must include processes other than unlearning. However, reinforcement learning …

The basal ganglia are equipped with inhibitory and disinhibitory mechanisms that enable a
subject to choose valuable objects and actions. Notably, a value can be determined flexibly …

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

Concepts lie at the very heart of intelligence, providing organizing principles with which to
comprehend the world. Surprisingly little, however, is understood about how we acquire and …

People are remarkably smart: They use language, possess complex motor skills, make
nontrivial inferences, develop and use scientific theories, make laws, and adapt to complex …