TopicNeuroscience

relational systems

Latest

SeminarNeuroscienceRecording

Structure-mapping in Human Learning

Dedre Gentner
Northwestern University
Apr 2, 2021

Across species, humans are uniquely able to acquire deep relational systems of the kind needed for mathematics, science, and human language. Analogical comparison processes are a major contributor to this ability. Analogical comparison engages a structure-mapping process (Gentner, 1983) that fosters learning in at least three ways: first, it highlights common relational systems and thereby promotes abstraction; second, it promotes inferences from known situations to less familiar situations; and, third, it reveals potentially important differences between examples. In short, structure-mapping is a domain-general learning process by which abstract, portable knowledge can arise from experience. It is operative from early infancy on, and is critical to the rapid learning we see in human children. Although structure-mapping processes are present pre-linguistically, their scope is greatly amplified by language. Analogical processes are instrumental in learning relational language, and the reverse is also true: relational language acts to preserve relational abstractions and render them accessible for future learning and reasoning. Although structure-mapping processes are present pre-linguistically, their scope is greatly amplified by language. Analogical processes are instrumental in learning relational language, and the reverse is also true: relational language acts to preserve relational abstractions and render them accessible for future learning and reasoning.

relational systems coverage

1 items

Seminar1

Share your knowledge

Know something about relational systems? Help the community by contributing seminars, talks, or research.

Contribute content
Domain spotlight

Explore how relational systems research is advancing inside Neuroscience.

Visit domain

Cookies

We use essential cookies to run the site. Analytics cookies are optional and help us improve World Wide. Learn more.