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: