GCO3815

Artificial intelligence

Dr H Selvaraj

6 points
* 4 hours per week
* Second semester
* Gippsland/Distance
* Prerequisites: GCO1812
* Prohibitions: CSC3091, RDT3691

Objectives Students completing this subject should be able to explain the fundamental concepts of artificial intelligence; describe some AI techniques and applications; use Prolog to solve problems and build expert systems.

Synopsis Can machines think? the physical symbol system hypothesis; history of AI; the Turing test; languages of AI; the structure of Prolog; facts, rules, queries; instantiation and backtracking; list processing; depth-first and breadth-first searches; directed searches and the A* algorithm; knowledge representation; frames, scripts; expert systems; learning; genetic algorithms; neural networks; backpropagation. Access to the university's computer systems via modem is compulsory for distance education students.

Assessment Examination (3 hours): 70%
* Other assessment modes: 30%

Prescribed texts

Luger G F and Stubblefield W A Artificial intelligence: Structures and strategies for complex problem solving 2nd edn, Benjamin Cummings, 1993