Clayton Second semester 2006 (Day)
Synopsis: Topics include LISP programming; history and philosophy of artificial intelligence; intelligent agents; problem solving and search; knowledge representation and reasoning (extension of material on propositional and first-order logic for artificial intelligence applications, situation calculus, planning, frames and semantic networks); expert systems overview; reasoning under uncertainty (belief networks compared to other approaches such as fuzzy logic); machine learning (decision trees, neural networks, genetic algorithms).
Assessment: Examination (3 hours): 60% + Assignments: 40%
Contact Hours: Two 1-hour lectures per week
Prohibitions: CSC2091, CSC3091, CSE2309, DGS3691, GCO3815, GCO7835, RDT3691