CS 682 - AI: Case-Based Reasoning

Syllabus for Winter, 2008

Call Number: 01433
Professor: Cindy Marling
Office: Stocker 321-D, Phone: 593-1246, Email: marling@ohio.edu
Office Hours: Mondays and Fridays, from 9:00 to 11:00 AM, or by appointment
Class Time: Tuesdays and Thursdays, from 9:10 to 11:00 AM, in Stocker 326
Prerequisites: CS 580 - Artificial Intelligence
Strong programming background
Reference Book: Case-Based Reasoning, Janet Kolodner, Morgan Kaufmann, 1993
Home Page: The home page for CS 682 on the World Wide Web is:
http://ace.cs.ohiou.edu/~marling/cs682/cs682.html
Be sure to check here for important course information on a regular basis.
Overview: Case-Based Reasoning (CBR) is an Artificial Intelligence (AI) paradigm, in which new problems are solved by reusing the solutions to previously encountered problems. It offers both a cognitive model of human problem solving and a concrete methodology for building knowledge-based systems. CBR is based on the premise that expertise is experiential in nature. What separates an expert from a novice is the breadth of his or her experience. Each problem solving experience a person (or system) has represents a case, or example, which may be useful again in the future. This course will enable students familiar with other AI problem solving approaches to explore CBR in depth. Featured will be: an overview of fundamentals; discussion of research projects; CBR system implementation; and student presentations.
Grading for
CS 682:
Participation (25%)
Midterm Exam (25%)
Project Report (25%)
Final Exam / Project Presentation (25%)
Attendance
Policy:
Attendance is a necessary, but not sufficient, condition for participation in CS 682. Absences must be excused in advance. Each unexcused absence will result in a ten-point deduction from the hundred-point-scale participation grade.
Academic
Dishonesty
Policy:
All work must be the student's own. Proper credit must be given to the authors of all referenced papers, Web pages and CBR systems. No credit will be given for duplicate or plagiarized work. Stronger measures, within the guidelines of the Student Handbook, may be taken when conditions warrant. The OU Student Code of Conduct Policy is available online at http://www.ohio.edu/judiciaries/conduct.cfm.
Other Policies: Be sure to notify the professor of any exam conflicts or other extenuating circumstances in advance. No late work will be accepted without prior approval. No missed exams will be made up without prior approval.
Final Exam: Project presentations will be held on Wednesday, March 19, from 10:10 AM to 12:10 PM.