SFT3610

Intelligent software systems

Not offered in 1999

4 points - 3 hours per week - First semester - Caulfield - Prerequisites: SFT1102 - Prohibitions: SFT3010

Objectives At the completion of this subject students should be familiar with the well known techniques of logic programming and Prolog; have a good understanding of the typical techniques in AI; and be able to write application programs in deductive databases, rule-based systems, and machine learning.

Synopsis This subject provides a wide exposition of the goals and fundamental techniques of AI and knowledge-based software development. Programming in Prolog. Knowledge representation and expert systems. Reasoning under uncertainty. Knowledge acquisition and refinement. Selected areas of applications are discussed: deductive databases, problem solving and graph searching, text processing, natural language processing, knowledge representation, rule-based systems, software engineering.

Assessment: Practical work and assignment: 60% - Examination: 40%

Recommended texts

Bratko I Prolog: Programming for AI 2nd edn, Addison-Wesley, 1990
Luger G and Stubblefield W Artificial intelligence: Structures and strategies for complex problem solving 2nd edn, Benjamin-Cummings, 1993
Russell S and Norving P Artificial intelligence: A modern approach Prentice-Hall, 1995

Back to the 1999 Information Technology Handbooks