Knowledge-Driven Computing: Knowledge Engineering and Intelligent Computations (Studies in Computational Intelligence, 102)

Cotta, Carlos [Editor]; Reich, Simeon [Editor]; Ligeza, Antoni [Editor];

ISBN 10: 3540774742 / ISBN 13: 9783540774747

Published by Springer, 2008

About this Item

Springer Verlag; Berlin, 2008. Hardcover. A Near Fine, binding firm, interior and extremities tidy, trace handling marks, book appears unread, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 324pp. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Seller Inventory # SKU1037291

Bibliographic Details

• Title: Knowledge-Driven Computing: Knowledge Engineering and Intelligent Computations (Studies in Computational Intelligence, 102)
• Publisher: Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 3540774742
• ISBN 13: 9783540774747
• Binding: hardcover
• Condition: As New
• Weight: 51 ounces
• Seller catalogs:
  • Math Text Books

About this title

Synopsis

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.