FIT3080 - Artificial intelligence
6 points, SCA Band 2, 0.125 EFTSL
Undergraduate Faculty of Information Technology
Leader(s): Dr Kevin Korb
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).
At the completion of this unit students will have knowledge and understanding of:
- the historical and conceptual development of AI;
- the goals of AI and the main paradigms for achieving them, including logical inference, search, nonmonotonic logics, neural network methods and Bayesian inference;
- the social and economic roles of AI;
- heuristic AI for problem solving;
- basic knowledge representation and reasoning mechanisms;
- automated planning and decision-making systems;
- probabilistic inference for reasoning under uncertainty;
- machine learning techniques and their uses;
- foundational issues for AI, including the frame problem and the Turing test;
- AI programming techniques;
At the completion of this unit students will have developed attitudes that enable them to:
- appreciate the potential and limits of the main approaches to AI;
- be ready to reason critically about claims of the effectiveness of AI programs.
At the completion of this unit students will have the skills to:
- analyse problems and determine where AI techniques are applicable;
- implement AI problem-solving techniques in Lisp;
- compare AI techniques in terms of complexity, soundness and completeness.
Assignments: 40%; Examination (3 hours): 60%.
One x 2 hr lecture/week, one x 1 hr laboratory/week for 6 weeks
FIT2004 or CSE2304
CSC2091, CSC3091, CSE2309, CSE3309, DGS3691, GCO3815, GCO7835, RDT3691