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Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms (Texts in Computer Science)

by Toshinori Munakata

ISBN-10: 0387983023
ISBN-10: 0-387-98302-3
ISBN-13: 9780387983028
ISBN-13: 978-0-387-98302-8
Hardcover
2001-11-14
Springer


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Editorials


Product 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.

Reviews


Very good Non-Symbolic AI Overview and Introduction
If you are searching for an overview of Non-Symbolic AI fields with introduction (not just shallow), hints and examples for practical application, and comparison of performance, strengths and weaknesses, this is definately a book to be considered. It covers the topics pretty well, and only the chapters about rough sets and chaos approaches seem to differ a bit from the scheme followed in the chapters before.


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