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

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

- Inductive Logic Programming ppr muggleton94

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 *