Nature Inspired Problem-Solving Methods in Knowledge Engineering

N/A

ISBN 10: 3540730540 / ISBN 13: 9783540730545

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2007

About this Item

Constitutes the proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. This book contains the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems. Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues. Num Pages: 672 pages, biography. BIC Classification: UYQE. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 34. Weight in Grams: 1021. . 2007. Paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9783540730545

Bibliographic Details

• Title: Nature Inspired Problem-Solving Methods in Knowledge Engineering
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Publication Date: 2007
• Language: English
• ISBN 10: 3540730540
• ISBN 13: 9783540730545
• Binding: Soft cover
• Condition: New

About this title

Synopsis

The second of a two-volume set, this book constitutes the refereed proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. It contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.

Synopsis

The two-volume set LNCS 4527 and LNCS 4528 constitutes the refereed proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. The 126 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking AI and knowledge engineering with neurophysiology, clinics and cognition. This second volume contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.