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Researchers in CIL investigate natural and artificial systems to comprehend principles that render intelligent behaviour possible in complex changing environments. The lab’s core research is focused on devising intelligent machines capable of learning, understanding and reasoning about past actions, so as to provide creative solutions to realworld complex problems.

Research Areas.
Cognitive and Neuro Systems.
Decision Support Systems.
Evolutionary-Memetic and Statistical Learning.
Nature-Inspired Systems.
Machine Learning.
Intelligent Systems and Devices.
Nature-Inspired Systems.
Intelligent Systems and Devices.
Sentic Computing.
Fuzzy Systems.

Research Staff and Graduate students.
Research Staff (25 )
Graduate Students (30)

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