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Advanced Methods for Computational Collective Intelligence

Advanced Methods for Computational Collective Intelligence

Advanced Methods for Computational Collective Intelligence
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Advanced Methods for Computational Collective Intelligence Hardback - - 2013th Edition

by Ngoc Thanh Nguyen (Editor); Bogdan Trawiński (Editor); Radoslaw Katarzyniak (Editor)

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Springer , pp. 390 . Hardback. New.
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Details

  • Title Advanced Methods for Computational Collective Intelligence
  • Author Ngoc Thanh Nguyen (Editor); Bogdan Trawiński (Editor); Radoslaw Katarzyniak (Editor)
  • Binding Hardback
  • Edition number 2013th
  • Edition 2013
  • Condition New
  • Pages 378
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date pp. 390
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 658559416
  • ISBN 9783642342998 / 364234299X
  • Weight 1.59 lbs (0.72 kg)
  • Dimensions 9.21 x 6.14 x 0.88 in (23.39 x 15.60 x 2.24 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 006.3
  • Quantity available 4

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Reader reviews for Advanced Methods for Computational Collective Intelligence

From the rear cover

The book consists of 35 extended chapters which have been selected and invited from the submissions to the 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012) held on November 28-30, 2012 in Ho Chi Minh City, Vietnam. The book is organized into six parts, which are semantic web and ontologies, social networks and e-learning, agent and multiagent systems, data mining methods and applications, soft computing, and optimization and control, respectively. All chapters in the book discuss theoretical and practical issues connected with computational collective intelligence and related technologies. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants in courses on Soft Computing, Multiagent Systems, and Data Mining. This book can be also useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases of intelligent collectives. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.

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