Complex Systems in Knowledge-based Environments: Theory, Models and Applications

  • Andreas Tolk
  • Lakhmi C. Jain

Part of the Studies in Computational Intelligence book series (SCI, volume 168)

Table of contents

  1. Front Matter
  2. Kathryn Blackmond Laskey, Paulo Cesar G. Costa
    Pages 7-40
  3. Andreas Tolk, Saikou Y. Diallo, Robert D. King, Charles D. Turnitsa
    Pages 41-74
  4. Isabel F. Cruz, Huiyong Xiao
    Pages 75-98
  5. Chih-Chun Chen, Sylvia B. Nagl, Christopher D. Clack
    Pages 99-128
  6. Christer Thörn, Kurt Sandkuhl
    Pages 129-162
  7. Back Matter

About this book


This volume comprises a selection of state-of-the-art contributions to topics dealing with Complex Systems in the Knowledge-based Environment. Complex systems are ubiquitous. Examples comprise, but are not limited to System of Systems, Service-oriented Approaches, Agent-based Systems, and Complex Distributed Virtual Systems. All these are application domains that require knowledge, engineering, and management methods beyond the scope of traditional systems. The chapters in this book deal with a selection of relevant topics, ranging from uncertainty representation and management to the use of ontological means in support of large-scale business integration.

All contributions were invited based on the special recognition of the contributing authors in their field during workshops and symposia. By bringing all these different aspects together in one volume, our intent was first to present a variety of tools to the reader in support of his studies and work, and second to show how the different facets presented in the chapters are complementary contributing towards an emerging discipline to cope with complex systems. The common denominator of all chapters is the use of knowledge-based methods, in particular ontological means. The chapters are categorized into theory contributions and practical applications.

We hope that this volume will help researchers, students, and practitioners in coping with the challenges of integration, operation, and evaluation of complex systems.


Knowledge Management Ontological Means System of Systems agents complex systems complexity information system knowledge linear optimization modeling ontology robot robotics simulation uncertainty

Editors and affiliations

  • Andreas Tolk
    • 1
  • Lakhmi C. Jain
    • 2
  1. 1.Old Dominion UniversityNorfolkUSA
  2. 2.University of South AustraliaAdelaideAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-88074-5
  • Online ISBN 978-3-540-88075-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site