| 書目名稱 | Robust Intelligent Systems | | 編輯 | Alfons Schuster | | 視頻video | http://file.papertrans.cn/832/831320/831320.mp4 | | 概述 | Reflects the increasing interest in the importance of robustness as a design principle for AI.Draws on strategies and examples of problem solving from nature (such as redundancy, granularity, adaptati | | 圖書封面 |  | | 描述 | Our time recognizes robustness as an important, all-pervading feature in the world around us. Despite its omnipresence, robustness is not entirely understood, rather dif?cult to de?ne, and, despite its obvious value in many situations, rather dif?cult to achieve. One of the goals of this edited book is to report on the topic of robustness from a variety and diverse range of ?elds and perspectives. We are interested, for instance, in fundamental strategies nature applies to make systems robust—and arguably “intelligent”—and how these strategies may hold as general design principles in modern technology. A particular focus is on computer-based systems and appli- tions. This in mind, the book has four main sections: Part I has a look at robustness in terms of underlying technologies and infrastr- tures upon which many computer-based “intelligent” systems reside and inves- gates robustness on the hardware and software level, but also in larger environments such as the Internet and self-managing systems. The contributions in Part II target robustness in research areas that are inspired by biology, including brain-computer interfaces, biological networks, and biological immune systems, f | | 出版日期 | Book 2008 | | 關(guān)鍵詞 | Bayesian network; algorithms; artificial intelligence; artificial intelligence system; bioinformatics; co | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-84800-261-6 | | isbn_softcover | 978-1-84996-765-5 | | isbn_ebook | 978-1-84800-261-6 | | copyright | Springer-Verlag London 2008 |
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