Probabilistic Models of Cognition: The Mathematics of Mind - IPAM

Probabilistic Models of Cognition: The Mathematics of Mind

January 24 - 28, 2005

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, January 24, 2005

Morning Session

08:30-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-09:30
Welcome and Opening Remarks
09:30-09:30
Vision
09:30-10:30
Dan Kersten (University of Minnesota, Twin Cities)
Human Object Perception as Bayesian Inference
10:30-10:45
Discussion
10:45-11:15
Break
11:15-12:15
Paul Schrater (University of Minnesota)
Natural cost functions for contact point selection in grasping

Afternoon Session

12:15-12:30
Discussion
12:30-14:00
Lunch (on your own)
14:00-14:00
Memory/Cognitive Architecture
14:00-15:00
Rich Shiffrin (Indiana University)
Bayesian-based models for perception and memory: ROUSE and REM
14:00-15:00
David Huber (University of Maryland)
Bayesian-based models for perception and memory: ROUSE and REM
15:00-15:15
Discussion
15:15-15:45
Break
15:45-16:45
Mark Steyvers (University of California, Irvine (UCI))
Probabilistic topic models and associative memory
16:45-17:00
Discussion
17:00-17:30
Break
17:30-17:30
Associative Learning
17:30-18:30
Peter Dayan (University College London)
(Approximately) Optimal Models of Animal Conditioning
18:30-18:45
Discussion
18:45-19:45
Wine/Cheese Reception (Hosted by IPAM)

Tuesday, January 25, 2005

Morning Session

08:30-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-09:00
From Associative Learning to Causal Inference
09:00-10:00
Aaron Courville (Carnegie Mellon University)
A latent variable account of configural conditioning
10:00-10:15
Discussion
10:15-10:45
Break
10:45-11:45
Judea Pearl (University of California, Los Angeles (UCLA))
The Mathematics of Causal Modeling
11:45-12:00
Discussion

Afternoon Session

12:00-13:30
Lunch (on your own)
13:30-14:30
Patricia Cheng (UCLA)
A Probabilistic Representation of Causation: Some Implications
14:30-14:45
Discussion
14:45-15:15
Break
15:15-16:15
Alan Yuille (University of California, Los Angeles (UCLA))
Image Parsing and DDMCMC
16:15-16:30
Discussion
16:30-17:00
Break
17:00-18:00
Tom Griffiths (University of California, Berkeley (UC Berkeley))
Theory-Based Causal Induction
18:00-18:15
Discussion

Wednesday, January 26, 2005

Morning Session

08:30-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-09:00
Concepts and Categorization
09:00-10:00
Jacob Feldman (Rutgers University)
Detecting simple patterns in featural data
10:00-10:15
Discussion
10:15-10:45
Break
10:45-11:45
Josh Tenenbaum (Massachusetts Institute of Technology)
Title not available
11:45-12:00
Discussion

Afternoon Session

12:00-13:30
Lunch (on your own)
13:30-14:30
David Danks (Carnegie Mellon University)
Graphical Models for Psychological Categorization
14:30-14:45
Discussion
14:45-15:15
Break
15:15-15:15
Structure in Probabilistic Models
15:15-16:15
Eric Mjolsness (University of California, Irvine (UCI))
Variable-Structure Probabilistic Models
16:15-16:30
Discussion
16:30-17:00
Break
17:00-18:00
Stuart Russell (University of California, Berkeley (UC Berkeley))
Uncertainty in an unknown world
18:00-18:15
Discussion
18:15-19:30
Dinner (Hosted by IPAM)

Thursday, January 27, 2005

Morning Session

08:30-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-09:00
Motor Systems
09:00-10:00
Daniel Wolpert (University of Cambridge)
Probabilistic mechanisms in sensorimotor control
10:00-10:15
Discussion
10:15-10:45
Break
10:45-11:45
Emanuel Todorov (University of California at San Diego)
On the interplay of noise and redundancy in the motor system
11:45-12:00
Discussion

Afternoon Session

12:00-13:30
Lunch (on your own)
13:30-13:30
Planning, Decision Making, and Imitation
13:30-14:30
Brian Stankiewicz (University of Texas, Austin)
The role of belief updating in human sequential decision making with uncertainty
14:30-14:45
Discussion
14:45-15:15
Break
15:15-16:15
Michael Lee (University of Adelaide)
A generative model of human performance on an optimal stopping problem
16:15-16:30
Discussion
16:30-17:00
Break
17:00-18:00
Rajesh Rao (University of Washington)
A Bayesian Model of Sensorimotor Learning and Imitation in Infants and Robots
18:00-18:15
Discussion

Friday, January 28, 2005

Morning Session

08:30-09:00
Check-In/Light Breakfast (Hosted by IPAM)
09:00-09:00
Language
09:00-10:00
Nick Chater (University College London)
Statistical Language Learning: Analysis of an 'Ideal' Language Learner
10:00-10:15
Discussion
10:15-10:45
Break
10:45-11:45
Chris Manning (Stanford University)
Learning the Structure of Human Languages
11:45-12:00
Discussion

Afternoon Session

12:00-13:30
Lunch (on your own)
13:30-14:30
Frank Keller (University of Edinburgh)
Probabilistic Models of Human Sentence Processing
14:30-14:45
Discussion
14:45-15:15
Break
15:15-16:15
Adam Albright (Massachusetts Institute of Technology)
Modeling competition and uncertainty in word class decisions
16:15-16:30
Discussion
16:30-17:00
Break
17:00-18:00
Summary Discussion
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