Prerequisite: EECS 303 and MATH/STAT 425. Winter, 3 credit hours.
Programs and automata that "learn" by adapting to their environment; programs that utilize genetic algorithms for learning. Samuel strategies, realistic neural networks, connectionist systems, classifier systems, and related models of cognition. Artificial intelligence systems, such as NETL and Soar, are examined for their impact upon machine learning and cognitive science.