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Adaptive and Cognitive Systems Lab

The Adaptive and Cognitive Systems Lab investigates architectures and frameworks for self-learning cognitive systems that are able to adapt to an evolving environment. The lab's research revolves around integrating logic based models (ontologies), probabilistic models (Bayesian networks), and system models (multi-agent systems) for simulation; semantic event analysis, situation detection and situation prediction; representation and reasoning of spatial-temporal event patterns and cognitive vision systems. The lab has a strong applied research focus and is currently engineering systems that support data fusion, data analysis and sense making in diverse application domains, currently in health, biodiversity and earth observation.

CAIR node: 
UKZN