Overview
- Presents latest results in Knowledge-Driven Computing
Part of the book series: Studies in Computational Intelligence (SCI, volume 102)
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Table of contents (19 chapters)
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Front Matter
Keywords
About this book
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational Intelligence and Knowledge Engineering with strong mathematical foundations. It embraces methods and approaches coming from diverse computational paradigms, such as evolutionary computation and nature-inspired algorithms, logic programming and constraint programming, rule-based systems, fuzzy sets and many others. The use of various knowledge representation formalisms and knowledge processing and computing paradigms is oriented towards the efficient resolution of computationally complex and difficult problems.
The main aim of this volume has been to gather together a selection of recent papers providing new ideas and solutions for a wide spectrum of Knowledge-Driven Computing approaches. More precisely, the ultimate goal has been to collect new knowledge representation, processing and computing paradigms which could be useful to practitioners involved in the area of discussion. To this end, contributions covering both theoretical aspects and practical solutions, and dealing with topics of interest for a wide audience, and/or cross-disciplinary research were preferred.
Editors and Affiliations
Bibliographic Information
Book Title: Knowledge-Driven Computing
Book Subtitle: Knowledge Engineering and Intelligent Computations
Editors: Carlos Cotta, Simeon Reich, Robert Schaefer, Antoni Ligęza
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-77475-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-77474-7Published: 30 May 2008
Softcover ISBN: 978-3-642-09619-8Published: 30 November 2010
eBook ISBN: 978-3-540-77475-4Published: 19 July 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVII, 324
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Applications of Mathematics
Industry Sectors: Aerospace, Automotive, Biotechnology, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Oil, Gas & Geosciences, Telecommunications