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Nature Inspired Problem-Solving Methods in Knowledge Engineering: Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings, Part II 2007 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 650 pages, height x width: 235x155 mm, weight: 1021 g, XXII, 650 p., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 4528
  • Izdošanas datums: 11-Jun-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540730540
  • ISBN-13: 9783540730545
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  • Mīkstie vāki
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Nature Inspired Problem-Solving Methods in Knowledge Engineering: Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings, Part II 2007 ed.Palielināt
  • Formāts: Paperback / softback, 650 pages, height x width: 235x155 mm, weight: 1021 g, XXII, 650 p., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 4528
  • Izdošanas datums: 11-Jun-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540730540
  • ISBN-13: 9783540730545
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783540730545.html
Keywords:
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.

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. The second volume contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.