CPSC 422 Intelligent Systems

Winter Session 2006/2007 Term 2

Hierarchical Control
Decision making and planning under uncertainty; utility, decision networks, process models
Reinforcement Learning
Assumption-based Reasoning: abduction & default reasoning; diagnosis & design;
Using Uncertain Knowledge: probability, Bayesian belief networks, inference, learning belief networks, dynamic belief networks, perception, hidden Markov models, relational models
Multi-agent systems
Objects and relations; Ontologies, Semantic web, OWL

These topics will be presented in relation to a number of applications:

David Poole
Email: poole@cs.ubc.ca
Office: CICSR 127
Office Hours: Tuesdays 1:00-1:50 or by appointment.

Jacek Kisynski <kisynski@cs.ubc.ca>. Office hours: Mondays and Wednesdays, 2-3pm in Computer Science Learning Centre (ICICS/CS X150).

The following is a rough guideline only. The final grading scheme may vary slightly.

Written Assignments 20%
Mini projects 20% - these will be small projects done individually or in small groups and presented to the class during term. Each person will be expected to do 5 mini-projects.
Midterm Exam 15%
Project 20%
Final Exam 25%

See the course outline or (pdf) for more details, particularly about plagiarism.

The lectures will follow the material of Chapters 6, 7, 9, 10, 11 and 12 of the textbook. Additional material will be supplied (particularly on planning under uncertainty and reinforcement learning). You can also get copies of the slides used in class,

The current plan is for the assignments to cover the following topics:

and one literature review and a group project (or in pdf).

Textbook: forthcoming second edition of Computational Intelligence: A Logical Approach. Poole, Mackworth and Goebel. Oxford University Press, 1998. We will make available chapters from the second edition on the course WebCT site.
Suggested General Reference: Artificial Intelligence: A Modern Approach. 2nd edition, Russell and Norvig, 2003. Available at the Reading Room.

Email David if you have questions or comments.
The WebCT site for this course is here. Use it for discussion and grades.
There is a newsgroup for general stuff like buying/selling the text (but use Web CT for discussion if you are in the course) news:ubc.courses.cpsc.422
The textbook's web site contains valuable pointers such as all of the code from the book, solved exam-type questions and slides from lectures.
Check out CIspace: tools for learning Computational Intelligence. We have applets for learning about graph searching, constraint satisfaction problem solving, stochastic local search, neural network learning, robot control, belief and decision networks and definite clause deduction.

CPSC 422 (Winter 2006/2007, Term 2)