Fundamentals of the new artificial intelligence : beyond traditional paradigms
Author(s)
Bibliographic Information
Fundamentals of the new artificial intelligence : beyond traditional paradigms
（Graduate texts in computer science）
Springer, c1998
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Artifical 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. This textbook provides a first course in AI which covers these new technologies and how they may be applied. Prerequisites are minimal: a basic understanding of computer science and mathematics are sufficient and so this will be suitable for undergraduates coming to this subject for the first time. Professor Munakata is a leading figure in this field and has given courses on this topic extensively. As a result, students and researchers will enjoy this authoritative introduction to the subject. 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.
Table of Contents
Introduction. Neural Networks. Neural Networks: Other Models. Genetic Algorithms. Fuzzy Systems. Rough Sets. Chaos.
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