Unifying Themes in Complex Systems

Proceedings of the Sixth International Conference on Complex Systems

  • Ali Minai
  • Dan Braha
  • Yaneer Bar-Yam
Conference proceedings

DOI: 10.1007/978-3-540-85081-6

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Methods

    1. Front Matter
      Pages 1-1
    2. Susan Sgorbati, Bruce Weber
      Pages 11-18
    3. Victor Korotkikh, Galina Korotkikh
      Pages 19-26
    4. Jacek Marczyk, Balachandra Deshpande
      Pages 27-33
    5. Val K. Bykovsky
      Pages 34-41
    6. Tibor Bosse, Alexei Sharpanskykh, Jan Treur
      Pages 42-49
    7. David G. Green, Tania G. Leishman, Suzanne Sadedin
      Pages 58-65
    8. Jun Wu, Yue-Jin Tan, Hong-Zhong Deng, Da-Zhi Zhu
      Pages 66-73
    9. Daniel E. Whitney, David Alderson
      Pages 74-81
    10. Gábor Csárdi, Katherine Strandburg, László Zalányi, Jan Tobochnik, Péter érdi
      Pages 90-97
    11. Pedram Hovareshti, John S. Baras
      Pages 98-105
    12. Thomas F. Brantle, M. Hosein Fallah
      Pages 106-113
    13. Philip Vos Fellman, Jonathan Vos Post
      Pages 114-121
    14. Vito Albino, Nunzia Carbonara, Ilaria Giannoccaro
      Pages 130-137
    15. Philip V. Fellman
      Pages 138-145

About these proceedings

Introduction

The International Conference on Complex Systems (ICCS) creates a unique atmosphere for scientists of all fields, engineers, physicians, executives, and a host of other professionals to explore the common themes and applications of complex systems science. In June 2006, 500 participants convened in Boston for the sixth ICCS, exploring an array of topics, including networks, systems biology, evolution and ecology, nonlinear dynamics and pattern formation, as well as neural, psychological, psycho-social, socio-economic, and global systems.  

This volume selects 77 papers from over 300 presented at the conference. With this new volume, Unifying Themes in Complex Systems continues to build common ground between the wide-ranging domains of complex systems science.

Keywords

biocomplexity complex Systems complex system knowledge neural networks self-organization

Editors and affiliations

  • Ali Minai
    • 1
  • Dan Braha
    • 2
  • Yaneer Bar-Yam
    • 2
  1. 1.Department of Electrical and Computer Engineering, and Computer ScienceUniveristy of CincinnatiCincinnatiUSA
  2. 2.New England Complex Systems InstituteCambridgeUSA

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-540-85080-9
  • Online ISBN 978-3-540-85081-6