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Complex Adaptive Systems Modeling

Accepting submissions


Now accepting submissions

Complex Adaptive Systems Modeling is accepting submissions; please use the online submission system to submit your manuscript. If you are submitting a manuscript to a particular Special Issue, please refer to its specific name in your covering letter. For all enquiries about the journal, please contact: [email protected].

Editorial Board

Editor in Chief

  • Muaz A. Niazi, Bahria University, Pakistan

Assistant Editors

  • Hussein Abbass, University of New South Wales, Australia
  • Simon Angus, Monash University, Australia
  • Stefania Bandini, University of Milan-Bicocca, Italy
  • Vladimir Batagelj, University of Ljubljana, Slovenia
  • Terry Bossomaier, Charles Sturt University, Australia
  • Adelkrim Boukabou, University of Jijel, Algeria
  • Paul Bourgine, Ecole Polytechnique, France
  • Agostino Bruzzone, University of Genoa, Italy
  • Ted Carmichael, University of North Carolina, United States of America
  • Giancarlo Fortino, University of Calabria, Italy
  • Maria Ganzha, Polish Academy of Sciences, Poland
  • Carlos Gershenson, UNAM, Mexico
  • Julianne Halley, University of Cambridge, United Kingdom
  • He Qing Huang, Chinese Academy of Sciences, China
  • Cindy Hui, Rutgers University, United States of America
  • Barna Iantovics, Petru Maior University of TG.Mures, Romania
  • Mahdi Jalili, Sharif University of Technology, Iran
  • Fabrizio Lillo, Santa Fe Institute, United States of America
  • Juan Loor, University of Illinois, United States of America
  • Michael North, Argonne National Laboratory, United States of America
  • Marcin Paprzycki, Systems Research Institute of the Polish Academy of Sciences, Poland
  • Lael Parrott, University of Montreal, Canada
  • Camelia Pintea, Technical University Cluj-Napoca, Romania
  • Hiroki Sayama, Binghamton University, United States of America
  • Jun Suzuki, University of Massachusetts, United States of America
  • Gabriel Terejanu, University of South Carolina, United States of America
  • Andreas Tolk, Old Dominion University, United States of America
  • Robert Ulanowicz, University of Maryland, United States of America
  • Jose Vidal, University of South Carolina, United States of America
  • Giuseppe Vizzari, University of Milan-Bicocca, Italy
  • Levent Yilmaz, Auburn University , United States of America

Journal Advisory Board

  • Joshua Epstein, Santa Fe Institute, United States of America
  • Michael Huhns, University of South Carolina , United States of America
  • Tuncer Oren, University of Ottawa, Canada
  • Tamas Vicsek, Eotvos University, Hungary

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    Aims & scope

    cover

    Complex Adaptive Systems Modeling (CASM) is a highly multidisciplinary modeling and simulation journal that serves as a unique forum for original, high-quality peer-reviewed papers with a specific interest and scope limited to agent-based and complex network-based modeling paradigms for Complex Adaptive Systems (CAS). The highly multidisciplinary scope of CASM spans any domain of CAS. Possible areas of interest range from the Life Sciences (E.g. Biological Networks and agent-based models), Ecology (E.g. Agent-based/Individual-based models), Social Sciences (Agent-based simulation, Social Network Analysis), Scientometrics (E.g. Citation Networks) to large-scale Complex Adaptive COmmunicatiOn Networks and environmentS (CACOONS) such as Wireless Sensor Networks (WSN), Body Sensor Networks, Peer-to-Peer (P2P) networks, pervasive mobile networks, service oriented architecture, smart grid and the Internet of Things.

    Instructions for authors | FAQ

    Editor's quote

    Muaz A. Niazi
    "Complex Adaptive Systems Modeling (CASM) is a unique high quality, peer-reviewed journal developed for multidisciplinary researchers with an interest in two modeling and simulation paradigms; namely agent-based modeling and complex networks. Researchers interested in the modeling and simulation of Complex Adaptive Systems range from the social sciences to life sciences and from computer sciences to archeology and ecology. A unique feature of CASM is the goal of bridging a gap between different disciplines without sacrificing readability of articles across its broad readership; articles published in CASM are expected to be written so as to be comprehensible by researchers not only from the same discipline but also understandable by readers from others. So, a computer science paper in CASM should be written so as to be accessible to Biologists, Social scientists and vice versa."

    Editor in Chief
    Muaz A. Niazi, Bahria University

    Open special issues

    Multidisciplinary Applications of Complex Networks Modeling, Simulation, Visualization & Analysis

    Complex Network methods for Complex Adaptive Systems (CAS) have a widespread prevalence across literature spanning several disciplines from Biology and Social Sciences to Communication Networks. These network models are primarily developed using interaction data of various components or agents in a CAS. Subsequently analysis of these networks is performed using various network tools. This inaugural special issue of Springer Complex Adaptive Systems Modeling (CASM) comprises of papers in the domain of complex networks modeling, simulation, visualization and analysis.


    Deadline for submissions: 1st October 2012

    About SpringerOpen

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    ISSN: 2194-3206