Universal law of generalization

The universal law of generalization is a theory of cognition originally posited by Roger Shepard. According to it, the probability that a response to one stimulus will be generalized to another will be a function of the distance between the two stimuli. "Generalization" in this case is measured by means of confusion error, while the use of "distance" depends on the...
Edit and Show details

Add or delete facts, expose empty fields, download data in JSON or RDF formats, and explore topic metadata.

Freebase Logo
What is Freebase?

Freebase is a huge collection of facts, built by people like you. Freebase connects facts in ways other sites can't, giving you new ways to explore millions of subjects.
You can help improve it!

Flag this Topic
Why do you want to flag this topic?
Freebase Attribution

Freebase data is free for use under the CC-BY license.

The original description for this topic was automatically generated from the Wikipedia article "Universal law of generalization" licensed under the GNU Free Documentation License .
Learn more about Freebase licensing and attribution