FIT3080 - Artificial intelligence

Offered

Clayton Second semester 2007 (Day)
Malaysia Second semester 2007 (Day)

Synopsis

This unit includes history and philosophy of artificial intelligence; intelligent agents; problem solving and search (problem representation, heuristic search, iterative improvement, game playing); 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 (production systems, certainty factors); reasoning under uncertainty (belief networks compared to other approaches such as fuzzy logic); machine learning (decision trees, neural networks, genetic algorithms).

Assessment

Assignments: 40%; Examination (3 hours): 60%.

Contact hours

3 hours per week

Prerequisites

FIT2004 and FIT2014 or CSE2303 and CSE2304

Prohibitions

CSC2091, CSC3091, CSE2309, CSE3309, DGS3691, GCO3815, GCO7835, RDT3691