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Computational Models of Complex Systems

  • Book
  • © 2014

Overview

Editors:
  1. Vijay Kumar Mago

    1. Department of Computer Science, Troy University, Troy, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Vahid Dabbaghian

    1. The IRMACS Centre, Simon Fraser University The MoCSSy Program, Burnaby, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents Computational Models of Complex Systems
  • Dedicated to computational modelling as a research tool when investigating complex systems
  • Dedicated to Dr. Peter Borwein for his contribution to research and education on his 60th birthday
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 53)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Computational Models of Complex Systems: An Introduction

    • Vijay Kumar Mago, Vahid Dabbaghian
    Pages 1-4

  3. A Kabbalah System Theory Modeling Framework for Knowledge Based Behavioral Economics and Finance

    • Gabriel Burstein, Constantin Virgil Negoita
    Pages 5-23

  4. The Commodity Exporting Country A Spectral Analysis of Brazilian and Australian Equity Markets

    • David Gray, John McManus
    Pages 25-43

  5. Probabilistic European Country Risk Score Forecasting Using a Diffusion Model

    • R. Cervelló-Royo, J. -C. Cortés, A. Sánchez-Sánchez, F. -J. Santonja, R. Shoucri, R. -J. Villanueva
    Pages 45-58

  6. Determining the ‘Fault Zone’ of Fall Events in Long Term Care

    • Vijay Kumar Mago, Ryan Woolrych, Stephen N. Robinovitch, Andrew Sixsmith
    Pages 59-73

  7. Classification of Child Disability Using Artificial Neural Network

    • Jumi Kalita, Kandarpa Kumar Sarma, Pranita Sarmah
    Pages 75-87

  8. Evaluating Video and Facial Muscle Activity for a Better Assistive Technology: A Silent Speech Based HCI

    • Sridhar P. Arjunan, Wai C. Yau, Dinesh K. Kumar
    Pages 89-104

  9. Modeling Returned Biomedical Devices in a Lean Manufacturing Environment

    • Camille Jaggernauth
    Pages 105-118

  10. EARLI: A Complex Systems Approach for Modeling Land-use Change and Settlement Growth in Early Agricultural Societies

    • Sonja Aagesen, Suzana Dragićević
    Pages 119-139

  11. Oscillatory Dynamics of Urban Hierarchies 900–2000 Vulnerability and Resilience

    • Douglas R. White, Laurent Tambayong
    Pages 141-169

  12. Preliminary Analytical Considerations in Designing a Terrorism and Extremism Online Network Extractor

    • Martin Bouchard, Kila Joffres, Richard Frank
    Pages 171-184

  13. Sampling Emerging Social Behavior in Facebook Using Random Walk Models

    • C. A. Piña-García, Dongbing Gu
    Pages 185-196
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Keywords

About this book

Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

Editors and Affiliations

  • Department of Computer Science, Troy University, Troy, USA

    Vijay Kumar Mago

  • The IRMACS Centre, Simon Fraser University The MoCSSy Program, Burnaby, Canada

    Vahid Dabbaghian

Bibliographic Information

  • Book Title: Computational Models of Complex Systems

  • Editors: Vijay Kumar Mago, Vahid Dabbaghian

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-01285-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-01284-1Published: 13 November 2013

  • Softcover ISBN: 978-3-319-34825-4Published: 23 August 2016

  • eBook ISBN: 978-3-319-01285-8Published: 31 October 2013

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: X, 196

  • Number of Illustrations: 85 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Complexity

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