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Artificial Intelligence (2)
(3 credit hours, Prerequisite: 605441)
The course will cover several major areas of Artificial Intelligence including
planning, scheduling, agents, genetic algorithms, neural networks and machine
learning. These areas share an emphasis on probabilistic models of uncertainty,
compact representations of complex environments, and efficient algorithms for
reasoning, acting, and learning from experience. The main problems of
probabilistic AI, including planning and learning in Markovian environments,
reasoning under uncertainty via probabilistic graphical models, and interaction
between rational agents in game-theoretic settings will be surveyed.
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