For business professionals and advanced undergraduates and graduate students in computer science and related fields, Akerkar (Technomathematics Research Foundation and Western Norway Research Institute) and Sajja (Sardar Patel U.) describe knowledge-based artificial intelligence systems used to solve problems, and their architecture; techniques used for decision making, learning, and action; methods for representing and reasoning under uncertainty; and techniques to acquire knowledge from data. They cover development models, knowledge management, fuzzy logic, agent-based systems, artificial neural networks, genetic algorithms, and soft computing systems, with case studies of a multiagent e-learning system, diet planner, and a question-answering system. Basic computer science skills and a math background in set theory, relations, elementary probability, and introductory concepts of artificial intelligence are assumed. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)