书目名称 | Opportunities and Challenges for Next-Generation Applied Intelligence | 编辑 | Been-Chian Chien,Tzung-Pei Hong | 视频video | | 概述 | Compilation of Opportunities and Challenges for Next-generation Applied Intelligence | 丛书名称 | Studies in Computational Intelligence | 图书封面 |  | 描述 | 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, | 出版日期 | Book 2009 | 关键词 | algorithms; artificial intelligence; automation; bioinformatics; computer vision; data mining; genetic alg | 版次 | 1 | doi | https://doi.org/10.1007/978-3-540-92814-0 | isbn_softcover | 978-3-642-10088-8 | isbn_ebook | 978-3-540-92814-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | issn_series | 1860-949X | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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