CSE 574 Uncertainty and Decision Making in Artificial Intelligence --- Winter 1996

Professor:

• Office: Sieg 210, 3-4784
• Office hours whenever I'm around, or by appointment.

Email addresses:

• Mail to cse574@cs.washington.edu goes to all class members.
• Send mail to cse574-request@cs.washington.edu to get put on the list.

Reading material:

• Pearl: Probabilistic Reasoning in Intelligent Systems
  This is the "required" text for the class, and we will read several chapters. You can probably get by without buying it if you're strapped for cash, though it's a nice reference book.
• Shafer and Pearl: Readings in Uncertain Reasoning
  This is a nice collection of foundational papers on reasoning and uncertainty, and we will read several selections. A copy will be available in the GRAIL library.
• E.T. Jaynes: Probability Theory: The Logic of Science.
  Fragmentary edition of July 1995. This is an extremely interesting technical and historical look at the foundations of probability theory, statistics, and decision theory. Definitely worth looking at for the reference list and historical perspective alone! The math can be heavy going in places, but it's beautifully written.
• Neapolitan: Probabilistic Reasoning in Expert Systems, Theory and Algorithms
  A significant overlap with the Pearl book, so a good secondary source for information about graphical models and propagation algorithms. This is available from the Math Research library.
• Other papers to be arranged.

Course summary: