Intelligent software systems
X Wu and B Durnota
6 points
* 4 hours per week
* First semester
* Caulfield
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. Software agents, their evolution, intentional notions. 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 Assigments: 30%
* Examination: 70%
Recommended texts
Bratko I Prolog: Programming for AI 2nd edn, Addison-Wesley, 1990
Jennings N Cooperation in industrial multi-agent systems World Scientific, 1993
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
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