Computer Science CS 395/495, Section
24
Knowledge Representation
Fall 2003
Where and when:
Location: Large CS Classroom
Time: Wednesday 5:00--7:50 PM
Instructor:
Ken Forbus
Computer Science Department
1890 Maple Avenue, Room 300
forbus@northwestern.edu; for
course related matters please use
cs395-kr-staff@cs.northwestern.edu
(847) 491-7699
Office hours: By appointment
Teaching Assistant:
Praveen Paritosh
Computer Science Department
1890 Maple Avenue, Room 302
paritosh@cs.northwestern.edu;
for course related matters please use
cs395-kr-staff@cs.northwestern.edu
(847) 491-7698
Office hours: By appointment
Announcements:
- 9/30/03: Homework Zero updated to describe what you
need to turn in.
- 9/25/03: Due to some technical glitches, we're
postponing starting on SHAKEN for a week or two. Just focus on OpenCyc for now. The first homework assignment
has been changed accordingly.
- 12/8/03: What you need to include in your term project
report is described here.
Course Description: One of the most exciting frontiers in
Artificial Intelligence and Cognitive Science
today is knowledge representation. Building software that can understand
more about the world is essential for data mining, the Semantic Web, moving
beyond purely statistical approaches to natural language processing and
information retrieval, and for modeling the kind of conceptual processing that
is the hallmark of human cognition. This course provides hands-on experience
in representing knowledge. To do this, we will operate in a studio
style of instruction: Most of our meetings will be spent tackling
representation problems. Off-the-shelf tools will be used to provide a
foundation of material to start with, and the inference machinery needed to
test the representations that we build. Grading will be based on homework
assignments related to the work done in class, plus a project.
Prerequisites: CS 348 or CS 325 or equivalent AI experience.
Last edited 9/26/03 by Ken
Forbus.
Please send suggestions to cs395-kr-staff@cs.northwestern.edu.