Different types of decision theory techniques are illustrated and their application illustrated in artificial intelligence. The topics include Bayesian networks and influence diagrams, inference strategies for solving semi-Markov decision processes, relational representation and traces for efficient reinforcement learning, an intelligent assistant for power plant operation and training based on decision theory planning, and task coordination for service robots based on multiple Markov decision processes. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)