Nature Inspired Problem-Solving Methods in Knowledge Engineering: Second International Work-Conference on the Interplay Between Natural and Artificial . Computer Science and General Issues)

Mira, José [Editor]; Álvarez, José R. [Editor];

ISBN 10: 3540730540 / ISBN 13: 9783540730545

Published by Springer, 2007

About this Item

We are unable to ship to Canada at this time.Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.

Seller Inventory # UTD14a-0281

Bibliographic Details

• Title: Nature Inspired Problem-Solving Methods in Knowledge Engineering: Second International Work-Conference on the Interplay Between Natural and Artificial . Computer Science and General Issues)
• Publisher: Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 3540730540
• ISBN 13: 9783540730545
• Binding: Paperback
• Condition: Very Good
• Weight: 26 ounces

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.