ARTIFICIAL INTELLIGENCE FUNDAMENTALS (4 SCU)

Learning Outcomes

Describe broadly the scope of the field of Artificial Intelligence; Devise appropriate representations for state space search, and other search problems including two-player games; Represent knowledge using predicate calculus, and manually apply resolution refutation theorem-proving; Represent simple situations using a variety of other discipline-specific knowledge representation schemes including conceptual graphs and frames; Construct simple expert systems using an expert system shell; Write simple programs using the LISP and PROLOG computer programming languages.

Topics

This subject covers the fundamental areas of Artificial Intelligence, focussing on knowledge representation and search. Main topics include historical foundations and applications areas; state-space search; game-playing; knowledge representation languages including predicate calculus, semantic networks, conceptual graphs and frames; rule-based expert systems; and an introduction to symbolic and connectionist machine learning.

Prerequisite(s): None