Learning a theory of causality
The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuiti...
Main Authors: | Goodman, Noah D., Ullman, Tomer David, Tenenbaum, Joshua B. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | en_US |
Published: |
American Psychological Association
2012
|
Online Access: | http://hdl.handle.net/1721.1/70135 https://orcid.org/0000-0002-1925-2035 https://orcid.org/0000-0003-1722-2382 |
Similar Items
-
Theory learning as stochastic search in the language of thought
by: Goodman, Noah D., et al.
Published: (2016) -
Theory Acquisition as Stochastic Search
by: Ullman, Tomer David, et al.
Published: (2012) -
Learning physical parameters from dynamic scenes
by: Ullman, Tomer D., et al.
Published: (2020) -
A counterfactual simulation model of causal judgments for physical events.
by: Gerstenberg, Tobias, et al.
Published: (2021) -
Learning and using relational theories
by: Kemp, Charles, et al.
Published: (2017)