Prerequisites: 6.036 and 6.006 and (6.034 or 6.008) and (6.008 or 6.041) or equivalent
Instructors: Professors Leslie Kaelbling (email@example.com), Tomas Lozano-Perez (firstname.lastname@example.org)
Schedule: Lectures, TR1-2:30, online instruction
Enrollment limited to 20
This subject counts as an Artificial Intelligence concentration subject. We will study structured models, including first-order logic, graphical models, action-planning models (geometric, probabilistic, and symbolic), and syntactic and semantic models for natural language. For each of these model classes, we will study the basic representation and inference algorithms as well as techniques for learning them from data. An objective is to develop a simulation environment and a series of student assignments that implement and experiment with the techniques we study in the context of controlling an autonomous intelligent agent. These assignments will form the basis of a curriculum for a new advanced undergraduate subject in artificial intelligence.
Attendance required at synchronous meetings, but timing may be adjusted to accommodate time zones of participants. Please see canvas.mit.edu/courses/5634 and fill out form to apply for a place.
More information on how this subject will be taught can be found here