Cognitive scientists often infer multidimensional representations from data. Whether the data
involve text, neuroimaging, neural networks, or human judgments, researchers frequently …

Understanding the mechanisms enabling the learning and flexible use of knowledge in
context-appropriate ways has been a major focus of research in the study of both semantic …

Infants experience language in rich multisensory environments. For example, they may first
be exposed to the word applesauce while touching, tasting, smelling, and seeing …

The semantic knowledge stored in our brains can be accessed from different stimulus
modalities. For example, a picture of a cat and the word “cat” both engage similar conceptual …

A view that has been gaining prevalence over the past decade is that the human conceptual
system is malleable, dynamic, context‐dependent, and task‐dependent, that is, flexible …

In areas of machine learning such as cognitive modeling or recommendation, user feedback
is usually context-dependent. For instance, a website might provide a user with a set of …

A large portion of human knowledge comprises “abstract” concepts that lack readily
perceivable properties (eg,“love” and “justice”). Since abstract concepts lack such …

Abstraction processes involve two variables that are often confused with one another:
concreteness (banana versus belief) and specificity (chair versus furniture or Buddhism …

To study linguistically coded concepts, researchers often resort to the Property Listing Task
(PLT). In a PLT, participants are asked to list properties that describe a concept (eg, for DOG …

When the size of visual objects matches the size of the response required to perform the
task, a potentiation effect has been reported, with faster responses in compatible than …