Overview
- Compilation of Opportunities and Challenges for Next-generation Applied Intelligence
Part of the book series: Studies in Computational Intelligence (SCI, volume 214)
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About this book
The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.
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Table of contents (52 chapters)
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Front Matter
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Bio-informatics
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Computer Vision
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Data Mining and Knowledge Discovery
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Decision Support Systems
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Genetic Algorithms
Editors and Affiliations
Bibliographic Information
Book Title: Opportunities and Challenges for Next-Generation Applied Intelligence
Editors: Been-Chian Chien, Tzung-Pei Hong
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-92814-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-92813-3Published: 19 May 2009
Softcover ISBN: 978-3-642-10088-8Published: 28 October 2010
eBook ISBN: 978-3-540-92814-0Published: 12 May 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 344
Topics: Mathematical and Computational Engineering, Artificial Intelligence