Overview
- 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, adaptation etc,) in the design of robust systems
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Table of contents (13 chapters)
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Front Matter
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Robustness in Computer Hardware, Software, Networks, and Protocols
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Front Matter
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Robustness in Biology Inspired Systems
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Front Matter
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Robustness in Artificial Intelligence Systems
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Front Matter
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Robustness in Space Applications
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Front Matter
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Back Matter
Keywords
About this book
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, for example. Part III involves the exciting ?eld of arti?cial intelligence. The chapters here discuss the value of robustness as a general design principle for arti?cial intelligence, stressing its potential in areas such as humanoid robotics and image processing.
Editors and Affiliations
Bibliographic Information
Book Title: Robust Intelligent Systems
Editors: Alfons Schuster
DOI: https://doi.org/10.1007/978-1-84800-261-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-260-9Published: 30 September 2008
Softcover ISBN: 978-1-84996-765-5Published: 13 October 2010
eBook ISBN: 978-1-84800-261-6Published: 06 August 2008
Edition Number: 1
Number of Pages: XII, 299
Number of Illustrations: 81 b/w illustrations