The Complex and Intelligent Systems group at the University of Queensland has strengths in cross-disciplinary research in natural and artificial systems, from systems biology to systems neuroscience, and from biorobotics to intelligent information systems. The group's areas of focus include:
- Artificial Intelligence and Complex Systems:
- Agent-based systems
- Machine Learning and Data Mining
- Metaheuristic Optimization and Evolutionary Computation
- Genetic Networks
- Neural Networks
- Biologically-inspired Systems for Navigation, Robot Control, Embodied Learning, Vision and Movement
- Computational Biology:
- Systems Biology
- Biological and Cognitive Modelling
- Thinking Systems:
- Navigation in bees, rodents, humans, robots and information systems
The group's current flagship project is "Thinking Systems: Navigating through Real and Conceptual Spaces", which brings together a cross-disciplinary team to study fundamental issues in how animals, robots and computers can make sense of vast amounts of information when navigating through the world. We are using insights from biological and behavioural research to develop a new generation of robots that can learn about the physical spaces they work in, and create concept-mapping systems that can map and navigate information spaces. The project is a good example of the kind of training our group provides, bringing together teams of cross-disciplinary researchers at the honours, postgraduate and postdoctoral levels to develop the collaborative skills that span the biological, behavioural and computational sciences.
We collaborate widely, including with the ARC Centre of Excellence in Bioinformatics, ARC Centre for Complex Systems, CSIRO, Institiute for Molecular Bioscience, Institute for Social Science Research, Queensland Brain Institute and Queensland Health.
Last Updated: 09/10/08.