Advances in Cognitive Informatics and Cognitive Computing

  • Yingxu Wang
  • Du Zhang
  • Witold Kinsner

Part of the Studies in Computational Intelligence book series (SCI, volume 323)

Table of contents

  1. Front Matter
  2. Yingxu Wang, Du Zhang, Witold Kinsner
    Pages 1-11
  3. Shigeru Fujita, Kenji Sugawara, Claude Moulin
    Pages 13-32
  4. Ali Orhan Aydın, Mehmet Ali Orgun
    Pages 71-103
  5. Gabriela N. Aranda, Aurora Vizcaíno, Alejandra Cechich, Mario Piattini
    Pages 105-119
  6. Christine W. Chan, Robert Harrison
    Pages 121-143
  7. Alberto de la Encina, Mercedes Hidalgo-Herrero, Natalia López
    Pages 145-169
  8. Tyler W. Garaas, Marc Pomplun
    Pages 171-191
  9. Fumio Hattori, Kazuhiro Kuwabara, Noriaki Kuwahara, Shinji Abe, Kiyoshi Yasuda
    Pages 193-207
  10. Qing He, Qing Tan, Xiurong Zhao, Zhongzhi Shi
    Pages 227-243
  11. Back Matter

About this book


Cognitive Informatics (CI) is the science of cognitive information processing and its applications in cognitive computing. CI is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain. Advances and engineering applications of CI have led to the emergence of cognitive computing and the development of Cognitive Computers (CCs) that reason and learn. As initiated by Yingxu Wang and his colleagues, CC has emerged and developed based on the transdisciplinary research in CI, abstract intelligence (aI), and denotational mathematics after the inauguration of the series of IEEE International Conference on Cognitive Informatics since 2002 at Univ. of Calgary, Stanford Univ., and Tsinghua Univ., etc.


This volume in LNCS (subseries of Computational Intelligence), LNCI 323, edited by Y. Wang, D. Zhang, and W. Kinsner, presents the latest development in cognitive informatics and cognitive computing. The book focuses on the explanation of cognitive models of the brain, the layered reference model of the brain, the fundamental mechanisms of abstract intelligence, and the implementation of computational intelligence by autonomous inference and learning engines based on CCs.


Cognitive science Racter architecture computational intelligence dynamical systems information processing intelligence learning model modeling

Editors and affiliations

  • Yingxu Wang
    • 1
  • Du Zhang
    • 2
  • Witold Kinsner
    • 3
  1. 1.Dept. of Electrical and Computer Engineering Schulich Schools of EngineeringUniversity of CalgaryAlbertaCanada
  2. 2.Department of Computer ScienceCalifornia State UniversitySacramentoUSA
  3. 3.Dept. of Electrical and Computer EngineeringUniversity of ManitobaWinnipegCanada

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-16082-0
  • Online ISBN 978-3-642-16083-7
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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