| Knowledge-Driven Computing: Knowledge Engineering and Intelligent Computations 2008 Edition Contributor(s): Cotta, Carlos (Editor), Reich, Simeon (Editor), Ligeza, Antoni (Editor) |
|
 |
ISBN: 3540774742 ISBN-13: 9783540774747 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: May 2008 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Expert Systems - Technology & Engineering | Engineering (general) |
| Dewey: 006.33 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.81" H x 6.14" W x 9.21" (1.45 lbs) 324 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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 were preferred. |