Artificial intelligence has grown rapidly as a field of research and industrial application in recent years. Whereas traditionally, AI used techniques drawn from rule-based and logic programming systems, interest is now growing in less precise heuristic methods, notably genetic algorithms, fuzzy logic, and neural networks. The second edition of this textbook covers these new technologies and how they may be applied. It provides an accessible introduction to AI suitable for readers coming to this subject for the first time. In each topic, the book covers the most essential and widely employed material, particularly as it is used in real-world applications. Its emphasis is on concise yet clear descriptions of the technical substance.

Professor Munakata is a leading figure in this field and has given courses on this topic extensively. Students and researchers will enjoy this authoritative introduction to the subject.

No other books emphasize technical fundamentals of newer AI areas New sections, such as that on Boltzmann Machines, contain easy-to-understand descriptions and algorithms, following the features on the original edition

Inhalt
Neural Networks: Fundamentals and the Backpropagation Model.- Neural Networks: Other Models.- Genetic Algorithms and Evolutionary Computing.- Fuzzy Systems.- Rough Sets.- Chaos.