University of Pittsburgh

3712

Course Title: 
Knowledge Representation (CS 3740)
Credits: 
3
Description: 

The course will presuppose familiarity with AI programming techniques and research methods. Specific topics include: logic-based representations, semantic networks, frame-based representations, rule-based methods, object oriented methods, conceptual dependency networks, nonmonotonic reasoning, and specific issues in representation of casual, temporal, and spatial relations.

Prerequisites: 
ISSP 2160, CS 2710 or consent of instructor
Recitations: 
none
Frequency: 
This course is usually offered in the spring term.

Copyright 2009 | Web site by UMC Web Team