| Opportunities and Challenges for Next-Generation Applied Intelligence 2009 Edition Contributor(s): Chien, Been-Chian (Editor), Hong, Tzung-Pei (Editor) |
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ISBN: 3540928138 ISBN-13: 9783540928133 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: May 2009 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Databases - Data Mining - Computers | User Interfaces |
| Dewey: 006.3 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.81" H x 6.14" W x 9.21" (1.48 lbs) 344 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
