Description:

Knowledge engineering, human and automated knowledge acquisition and knowledge representation. Inferencing mechanisms. Decision-making under uncertainty. Introduction to very high-level programming languages (LISP and Prolog). Review of commercially available expert system shells and development tools for artificial neural network and case-based reasoning applications. Class exercise to construct a system prototype for a civil engineering problem.