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Complex Intelligent Systems
Overview
The Complex Intelligent Systems program carries out research in artificial neural networks, evolutionary algorithms, collective intelligence algorithms, data visualization, brain dynamics and brain modelling.
Aims and Objectives
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To conduct internationally recognised research in Complex Intelligent Systems |
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To collaborate with other research programs and collectively contribute to the research themes in CITR |
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To provide high quality research training and education |
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To engage in collaborative research both nationally and internationally |
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To engage industry through collaboration, consulting and other commercial activities |
Current Projects
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A multi channel architecture network that can learn patterns in data orders of magnitude more complicated than conventional networks while retaining the ability to generalise. |
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A combined meta heuristic that can schedule complex problems fast and adapt to changes in the scheduling environment ever faster. |
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The use of dominant and recessive genes to produce systems that can adapt to dramatically changing environments. |
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The development of a mathematically sophisticated model of the human brain's electrical activity (EEG) that has provided many important insights into the mechanisms the brain exploits to produce complex behaviour. |
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