Artificial Intelligence at Victoria
The artificial intelligence group carries out research in Machine Learning, Neural Networks, Cognitive Science, and Data Mining. Active projects include a system for automatic clustering of temporal data, analysing the evolution of cooperative behaviour, and the development of reinforcement learning techniques for complex tasks.
Evolutionary computing related research including genetic programming, learning classfier systems, particle swarm optimisation, multi-objective optimisation, evolutionary image analysis and art can be seen from
ECRG.
Festival of Doubt
The Festival of Doubt - our informal discussion series.
AI Courses at Victoria
| COMP 307 |
Introduction to AI |
| COMP 421 |
Machine Learning |
| COMP 422 |
Data mining, neural nets, and genetic programming |
| COMP 423 |
Intelligent agents |
| Special Topic |
Complex adaptive systems (by arrangement only) |
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Staff
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Dr Peter Andreae ("Pondy") - learning to act from examples
- learning in complex worlds
- clustering
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Dr Will Browne - machine learning
- Cognitive Robotics
- Learning Classifier Systems
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A/Prof Mengjie Zhang - data mining, machine learning
- genetic programming
- Evolutionary Computation
- computer vision
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Current Post-Graduate Students
Recent Completed Graduate Theses