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CPSC 672 - Knowledge Based Systems
This course introduces students to Expert Systems. The two major topics addressed are Rule-based systems and Fuzzy Logic systems. Goal-driven forward-chaining and backward-chaining paradigms are introduced. Automatic theorem provers, inference engines and problems of knowledge representation and knowledge acquisition are discussed. Approaches to reasoning about uncertainty, including Bayesian probabilities, certainty factors, non-monotonic logics and reasoning with beliefs, are covered. A Fuzzy Logic system is implemented and an application is developed and tested.
Credits: 3.000
Levels: Graduate
Schedule Types: Lecture, Final Exam
Precluded:
CPSC-472
Students cannot receive credit for the course being described and the course(s) listed as Precluded Restrictions:
Must be enrolled in one of the following Levels:
Graduate
Green prerequisites must be completed before registering in this course
Red prerequisites can be taken concurrently with this course
Magenta co-requisites must be taken at the same time as this course
