Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Causal Models | 1 |
| Cognitive Development | 1 |
| Constructivism (Learning) | 1 |
| Inferences | 1 |
| Intervention | 1 |
| Probability | 1 |
| Theory of Mind | 1 |
Source
| Psychological Bulletin | 1 |
Author
| Gopnik, Alison | 1 |
| Wellman, Henry M. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gopnik, Alison; Wellman, Henry M. – Psychological Bulletin, 2012
We propose a new version of the "theory theory" grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework…
Descriptors: Causal Models, Theory of Mind, Probability, Cognitive Development

Peer reviewed
Direct link
