Probabilistic Models of Cognition
a year ago
- #probabilistic models
- #open source
- #cognitive science
- The book explores the probabilistic approach to cognitive science, modeling learning and reasoning as inference in complex probabilistic models.
- It examines various empirical phenomena like intuitive physics, concept learning, causal reasoning, social cognition, and language understanding using probabilistic programs (WebPPL language).
- The book is an open-source project, welcoming contributions via GitHub.
- Key contributors include Noah D. Goodman (editor), Joshua B. Tenenbaum, Daphna Buchsbaum, and others.
- Technical assistance was provided by Andreas Stuhlmüller, Tomer Ullman, John McCoy, Long Ouyang, and Julius Cheng.
- Supported by grants from the Office of Naval Research, the James S. McDonnell Foundation, the Stanford VPOL, and the Center for Brains, Minds, and Machines.