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Principal Investigator:

Patrick Shafto

 
My research focuses on development of computational models of human cognition. I am interested in how people solve problems of inductive inference -- prediction problems for which the outcome is uncertain -- so quickly, accurately, and flexibly. The working hypothesis is that these capabilities can be achieved through the combination of structured knowledge representations, situation-specific sampling assumptions, and Bayesian statistics. Problems I have focused on include predicting unobserved properties, learning categories and richly structured concepts, and learning in pedagogical settings.
 
Visit my personal webpage to see a copy of my CV and view some publications. Refer to the research link on the left for more information about research in my lab.
 

Graduate Students:

 

Undergraduate Research Assistants:

Spring 2012
Landon Crunk, Chris Fargen, Tatijana Issac, Patrick Smith
 
Fall 2011
Kay Bates, Landon Crunk, Chris Fargen, Tatijana Issac, Jon Rowe, Patrick Smith
 
Spring 2011
Kay Bates, Baxter Eaves, Michael Owen
 
Fall 2010
Lauren Blansit, Baxter Eaves, Brennan Edgmon, Ben Gerstle, Michael Owen
 
Spring 2010
Laura Arns, Lauren Blansit, Baxter Eaves, Todd Stoess, Joel Cambon, Ben Gerstle, Brennan Edgmon
 
Fall 2009
Laura Arns, Lauren Blansit, Todd Stoess, Joel Cambon, Francy Laduslaw, Ben Gerstle
 
Spring 2009
Lauren Blansit, Joel Cambon, Ben Gerstle, Ryan Derrickson, Ben Gerstle, Ashley Wade
 
Fall 2008
Kristen Barnes, Ryan Derrickson, Ben Gerstle, Ashley Wade
 
Spring 2008
Nathaniel Baldwin, Kristen Barnes, Corey Coons, Neil Smith, Ashley Wade
 
Fall 2007
Nathaniel Baldwin, Kristen Barnes, Corey Coons
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