Schedule

THE SCHEDULE BELOW IS TEMPORARY AND SUBJECT TO CHANGE

Prior to arrival at the Summer School

Attendees will be provided with links and resources to download Jupyter notebooks (open source Python language). TA’s will provide zoom office hours for any attendees who would like support getting packages loaded onto their machines. Students will also get access to the workshop website, which will include access to all materials and readings to be covered.

Monday

Assigned Readings

Perfors, A., Tenenbaum, J. B., Griffiths, T. L., & Xu, F. (2011). A tutorial introduction to Bayesian models of cognitive development. Cognition, 120(3), 302-321.

Gopnik, A., & Wellman, H. M. (2012). Reconstructing constructivism: Causal models, Bayesian learning mechanisms, and the theory theory. Psychological bulletin, 138(6), 1085.

Charniak, E. (1991). Bayesian networks without tears. AI magazine, 12(4), 50.

Monday Detailed Schedule

9AM-9:15AM: Welcome, Introduction

9:30AM-10:15AM: Invited expert talk: Elizabeth Spelke, “Opportunities for computational models of Learning and Development”

10:15-10:45: Moderated student centered discussion with speaker

10:45AM-11:00AM: Break

11:00AM-12:00PM: Halely Balaban, "Developmentally-inspired Investigation of the Neural Dynamics of Cognitive Processing"

Case-study talk and demo

12:00PM-1:00PM: Lunch on site: Welcome networking

1:00PM-2:00PM: Introduction to Bayesian Models: Organizers

Presentation & Moderated discussion

2:00PM-3:00PM: Intro workshop to getting started in Python: Colantonio

Tutorial and Hands-on experience with data imports, basic commands, libraries

TA supported problem set break-outs

3:00PM-3:30PM: Afternoon coffee break

3:30PM-5:00PM: Intro workshop to probabilistic computing: Bayes rule, Priors, Causal models in Python: Colantonio

Tutorial and Hands-on experience with simplified model building 

TA supported problem set break-outs

Tuesday

Assigned Readings

Davidson-Pilon, C. (2015). Bayesian methods for hackers: probabilistic programming and Bayesian inference. Addison-Wesley Professional. Prolog, Chapters 1, 2.

Ullman, T.D., & Tenenbaum, JB. (2020). Bayesian models of conceptual development: Learning as building models of the world. Annu. Rev. Dev. Psychol. 2, p. 533–58.

Tuesday Detailed Schedule

9:15AM-9:30AM: Welcome, Feedback from Day 1

9:30AM-10:30AM: Invited expert talk: Josh Tenenbaum, “Theory-based Bayesian models of Development”

10:30AM-11:00AM: Moderated student centered discussion with speaker

11:00AM-11:15AM: Break

11:15AM-11:40AM: Bayesian models in core domains, surprise: Kevin Smith

11:40AM-12:00PM: Moderated discussion, Q&A 

12PM-1:00PM: Lunch on site: Finding project groups

1:00PM-3:00PM: Workshop: coding surprise, core knowledge (Smith)

Tutorial and Hands-on experience with models 

TA supported problem set break-outs

3:00PM-3:30PM: Afternoon coffee break

3:30PM-4:00PM: Introduction of group project 

Share data/cluster access, describe opportunities, provide example scope of the kinds of questions students can work on.

4:00PM-5:00PM: Group project brainstorming

Student group break-out. Identify question/problem, approach for project 

Wednesday

Assigned Readings

Gopnik, A. (2020). Childhood as a solution to explore–exploit tensions. Philosophical Transactions of the Royal Society B, 375(1803), 20190502.

Karmiloff-Smith, A. (1992). Nature, nurture, and PDP: Preposterous developmental  postulates? Connection Science, 4, 253–269.

Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017). Building machines that learn and think like people. Behavioral and brain sciences, 40.

Wednesday Detailed Schedule

9:15AM-9:30AM: Welcome, Feedback from Day 2

9:30AM-10:30AM: Invited expert talk: Sam Gershman, “Reinforcement Learning in Childhood”

10:30AM-11:00AM: Moderated student centered discussion with speaker

11:00AM-11:15AM: Break

11:15AM-12:15PM: Neural nets in Cognitive Development, introduction and case study (Colin Conwell)

Q&A With Speaker

12:15PM-1:00PM: Lunch on site

1:00PM-3:00PM:  Neural nets workshop (Conwell)

Tutorial and Hands-on experience with models 

TA supported problem set break-outs

3:00PM-3:30PM: Afternoon coffee break

3:30PM-5:00PM: Development of group project 

Students work on group project (TA supported) 

Thursday

Assigned Readings

Frank, M. C., Goodman, N. D., & Tenenbaum, J. B. (2009). Using speakers' referential intentions to model early cross-situational word learning. Psychological science, 20(5), 578-585.

Jara-Ettinger, J. et al. (2016) The Naïve Utility Calculus: Computational Principles Underlying Commonsense Psychology. Trends in Cognitive Sciences 20, 589–604.

Bonawitz, E., & Shafto, P. (2016). Computational models of development, social influences. Current Opinion in Behavioral Sciences, 7, 95-100.

Thursday Detailed Schedule

9:15AM-9:30AM: Welcome, Feedback from Day 3

9:30AM-10:30AM: Invited talks: P. Qian, I. Bass “Language Learning, Pragmatics, & Teaching in Cognitive Development”

10:30-11:00: Moderated student centered discussion with speakers

11AM-11:15AM: Break

11:15AM-12:45PM: Workshop: language learning models (Peng Qian) 

Tutorial and Hands-on experience with models 

TA supported problem set break-outs

12:45PM-1:30PM: Lunch

1:30PM-3:00PM: Workshop: Social-Cognitive Models in Development of Teaching & Utility (Bass)

Tutorial and Hands-on experience with models 

TA supported problem set break-outs

3:00PM-3:30PM: Afternoon coffee break

3:30PM-5:00PM: Implementation of group project 

Students continue work on group project (TA supported) 

Friday

Assigned Readings

Tenenbaum, J. B., Kemp, C., Griffiths, T. L., & Goodman, N. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331(6022), 1279-1285.

Piantadosi, S. T., Tenenbaum, J. B., & Goodman, N. D. (2012). Bootstrapping in a language of thought: A formal model of numerical concept learning. Cognition, 123(2), 199-217.

Davidson-Pilon, C. (2015). Bayesian methods for hackers: probabilistic programming and Bayesian inference. Addison-Wesley Professional. Chapters 3, 6.

Friday Detailed Schedule

9:15AM-9:30AM: Welcome, Feedback from Day 4

9:30AM-12:00PM: Students finalize group projects

TA supported

12:00PM-1:00PM:  Lunch

1:00PM-2:00PM: Invited expert talk: Steve Piantadosi, “The computational origin of representation and conceptual change”

2:00PM-2:30PM: Moderated student centered discussion with speaker

2:30PM-3:00PM: Afternoon coffee break

3:00PM-5:00PM: Presentation/Feedback of group project 

10 groups each present (5 minutes presentations, 5 minutes feedback)

Presentations: Summary of what was implemented, what was learned 

5:00PM-6:00PM: Final wrap-up, student feedback, closing party