The Theory Theory 2.0: Bayesian models, causal inference and cognitive development

Add to your list(s) Download to your calendar using vCal

• Alison Gopnik (University of California, Berkeley)
• Wednesday 17 May 2017, 13:00-14:30
• Seminar Room 2, Department of History and Philosophy of Science.

If you have a question about this talk, please contact .

I will report the latest ideas and results in our research exploring how children develop and revise intuitive theories. Two lines of research show, first, that young children can infer over hypotheses, abstract relations, and ‘framework theories’ from data, as well as inferring specific cause effect relationships, and second that varieties of sampling used in machine learning can provide a good account of how this is possible at the algorithmic level.

This talk is part of the CamPoS (Cambridge Philosophy of Science) seminar series.

This talk is included in these lists:

• All Talks (aka the CURE list)
• CamPoS (Cambridge Philosophy of Science) seminar
• Cambridge talks
• Department of History and Philosophy of Science
• Featured lists
• History and Philosophy of Science long list
• Philosophy Events
• Seminar Room 2, Department of History and Philosophy of Science
• Trust & Technology Initiative - interesting events
• hc446
• jer64's list

Note that ex-directory lists are not shown.