CS532: Advanced Artificial Intelligence

Course Description

• First order Logics - representation and inference. Dynamic probabilistic graphical models representation and algorihtms. Representation, learning, and inference in relational and quasi-first-order probabilistic models.

Instructor: Bruce D'Ambrosio, 107 Dearborn, 737 5563, dambrosi@cs.orst.edu
Text: Russell and Norvig, 2^nd edition.
Prerequisites: CS 531
Grading:

• Written Homework: weekly, 10%

• Programming: 10%

• Midterm: 25%

• Project: 15%

• Final: 40%

Registration Information: 4 Units. MWF 11200-1250 BEXL 326. CRN 27472

Midterm & Homework 4 here

Grades so far

Class Materials

• Slides for chapters from Russell and Norvig are available at AIMA web site

• Inductive Logic Programming ppr muggleton94

Homework assignments

• Due 1/15 7.3, 7.4, 7.5

• Due 1/18 8.2 8.6 8.13 9.4 9.7

• Due 2/6 10.5, 10.22

Bruce D'Ambrosio, dambrosi@cs.orst.edu