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 Assignments: 30% - Examination: 70%
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