Methods
and algorithms for learning and computational
intelligence. Optimal control and approximate
dynamic programming techniques, with applications
in adaptive flight control, and control of mobile
sensor networks. Theory and applications of network
models, such as neural and probabilistic networks,
with an emphasis on memory and reliability. Application
of expert systems and systems theory to psychological
and cognitive modeling from data. Learn
about our projects »
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