ITC366 Expert Systems (8)

CSU Discipline Area: Computing (COMPU)

Duration: One session

Abstract:

An overview is given of expert systems and their structure. Techniques of knowledge representation, knowledge acquisition and logical inference are applied to typical systems using specialised expert system languages such as PROLOG, LISP and an expert system shell.

+ Subject Availability Modes and Locations

No offerings have been identified for this subject in 2013.Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ITC366

Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Assumed Knowledge:

ITC102 and ITC129

Objectives:

Upon successful completion of this subject, students should:

- understand how expert systems differ from other information systems and where they can be applied in problem resolution;
- understand the theoretical background to logical inference and knowledge representation;
- be able to use an expert system shell to develop a meaningful expert system application;
- be able to develop a simple expert system in a specialised expert system language;
- be aware of current market trends in expert system languages and packages.

Syllabus:

The subject will cover the following topics:

- The history of expert systems - The structure of an expert system. - The expert system development life cycle. - Domain selection. - Knowledge acquisition and machine learning. - Neural networks. - Formal logic theory including the Algebras of Classes/Sets, Boolean, Propositional and First Order Predicate Logic. - Techniques available for knowledge representation. - Techniqes of formal inference, including forward and backward chaining. - Programming with typical expert system oriented languages, eg PROLOG and LISP. - Programming in a typical expert system shell. - Current market survey of expert system tools.

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