Probabilistic models of cognition: Reasoning and Learning
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Course Description
How can we understand intelligent behavior as computation? This course introduces probabilistic programming as a tool for cognitive modeling. We will use probabilistic generative models to explain aspects of human and artificial cognition. Topics will be drawn from causal and social reasoning, concept learning, and hierarchical abstraction.
Cross Listed Courses
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Lecture
Enrollment Optional?
No
Programs
CS428A
is a
completion requirement
for:
- (from the following course set: )
- (from the following course set: )
- (from the following course set: )