Whereas traditionally, AI used techniques drawn from symbolic models such as systems of knowledge and logic-based programming, interest has grown in the new paradigm, especially artificial neural networks, genetic algorithms and fuzzy logic. Significantly updated second edition of the New Artificial Intelligence comprehensive cover the most important material-related and widely used artificial neural networks, genetic algorithms, fuzzy systems, rough sets, and chaos. Exposition reveals the core principles, concepts, and technology in a concise and easily accessible, easily understandable way, and as a result, minimum requirements: A basic understanding of computer programming and mathematics makes the book suitable for readers who come to the subject for the first time. Topics and features: Maintaining a well-received features of the first edition, but to clarify and expand topics ? Feature entirely new material on simulated annealing, Boltzmann machine, and the extended fuzzy if-then rule table [NEW] ? Integrating all of the material, but allows each chapter to be used or studied independently This text is very valuable and authoritative reference is an introduction to the subject and is therefore ideal for upper level and graduate students studying computational intelligence, soft computing, neural networks, evolutionary computing, and fuzzy systems.