CSC610: Knowledge Engineering 6 credits (40-10-10)

Objectives

To expose students to the facility of Knowledge Engineering (KE). An exhaustive study of the use of fuzzy sets in KE will be done.

Contents

Facility of KE and problem solving; KE and Symbolic Artificial Intelligence fuzzy systems - Fuzzy set and fuzzy operations; fuzziness and probability; fuzzy relations and implementations;, propositions and fuzzy logic; fuzzy rules inference methods; fuzzy and defuzzifications; Fuzzy systems; Neural networks for knowledge engineering and problem solving; neural network as a problem solving paradigm; Connectionist systems; connectionist systems for pattern recognition and classification; image processing; production; monitoring; diagnostic; planning; optimization and decision making; models; strategic games; Historian symbolic systems; new connectionist and fuzzy large models.