Computational intelligence (CI) is a superset of artificial intelligence (AI) encompassing AI, but with more emphasis on neural networks, fuzzy logic and evolutionary computation. In recent years, CI and AI have become closer in meaning due to the success of CI approaches, particularly neural networks. The department and university offer many classes in CI topics, and a number of our researchers use CI approaches as a key part of their investigations. S&T is primarily known for contributions in unsupervised and reinforcement learning, and has made contributions in fuzzy logic and evolutionary computing.
Interested in discussing the research we are working on or learning more? Visit our lab website, http://acil.mst.edu/, or please contact:
Mary K. Finley Missouri Distinguished Professor of Computer Engineering
Clustering; neural networks; reinforcement learning; approximate dynamic programming; adaptive dynamic programming.
Professor, Electrical and Computer Engineering; Coordinator, Computer Engineering Undergraduate Studies; Associate Chair, Electrical and Computer Engineering Academic Affairs
Computational Intelligence, Biomedical Image and Signal Processing, Data Fusion, Machine and Deep Learning, Medical Informatics, Precollege STEM Education Outcomes.
William A. Rutledge - Emerson Electric Co. Distinguished Professor
Systems and control; neural network control; event-triggered control/cyber-physical systems; resilience/prognostics; autonomous systems/robotics.