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  1. Content type: Research

    This paper describes dynamic agent composition, used to support the development of flexible and extensible large-scale agent-based models (ABMs). This approach was motivated by a need to extend and modify, with e...

    Authors: Fanny Boulaire, Mark Utting and Robin Drogemuller

    Citation: Complex Adaptive Systems Modeling 2015 3:1

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  2. Content type: Research

    Infectious diseases are the second leading cause of deaths worldwide, accounting for 15 million deaths – that is more than 25% of all deaths – each year. Food plays a crucial role, contributing to 1.5 million ...

    Authors: Matteo Convertino, Yang Liu and Haejin Hwang

    Citation: Complex Adaptive Systems Modeling 2014 2:6

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    The Erratum to this article has been published in Complex Adaptive Systems Modeling 2016 4:9

  3. Content type: Research

    Cloud computing systems represent one of the most complex computing systems currently in existence. Current applications of Cloud involve extensive use of distributed systems with varying degree of connectivit...

    Authors: Umme Habiba, Rahat Masood, Muhammad Awais Shibli and Muaz A Niazi

    Citation: Complex Adaptive Systems Modeling 2014 2:5

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  4. Content type: Research

    Following Holland, complex adaptive systems (CASs) are collections of interacting, autonomous, learning decision makers embedded in an interactive environment. Modeling CASs is challenging for a variety of rea...

    Authors: Michael J North

    Citation: Complex Adaptive Systems Modeling 2014 2:3

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  5. Content type: Research

    In the context of modernization and development, a complex adaptive systems framework can help address the coupling of macro social constraint and opportunity with individual agency. Combining system dynamics ...

    Authors: Mark Abdollahian, Zining Yang, Travis Coan and Birol Yesilada

    Citation: Complex Adaptive Systems Modeling 2013 1:18

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  6. Content type: Methodology

    Agent-based models are typically “simple-agent” models, in which agents behave according to simple rules, or “complex-agent” models which incorporate complex models of cognitive processes. I argue that there i...

    Authors: Marshall Abrams

    Citation: Complex Adaptive Systems Modeling 2013 1:16

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    The Erratum to this article has been published in Complex Adaptive Systems Modeling 2014 2:1

  7. Content type: Research

    Commercial aviation is feasible thanks to the complex socio-technical air transportation system, which involves interactions between human operators, technical systems, and procedures. In view of the expected ...

    Authors: Soufiane Bouarfa, Henk AP Blom, Richard Curran and Mariken HC Everdij

    Citation: Complex Adaptive Systems Modeling 2013 1:15

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  8. Content type: Research

    Content delivery in dynamic networks is a challenging task, because paths may change during delivery and content might get lost. Replication is a typical measure to increase robustness and performance.

    Authors: Anita Sobe and Wilfried Elmenreich

    Citation: Complex Adaptive Systems Modeling 2013 1:13

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  9. Content type: Research

    Online social networks (OSNs) are now among the most popular applications on the web offering platforms for people to interact, communicate and collaborate with others. The rapid development of OSNs provides o...

    Authors: Konglin Zhu, Wenzhong Li and Xiaoming Fu

    Citation: Complex Adaptive Systems Modeling 2013 1:14

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  10. Content type: Research

    The performance of an optimistic parallel discrete event simulator (PDES) in terms of the total simulation execution time of an experiment depends on a large set of variables. Many of them have a complex and g...

    Authors: Aditya Kurve, Khashayar Kotobi and George Kesidis

    Citation: Complex Adaptive Systems Modeling 2013 1:12

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  11. Content type: Research

    We propose an agent-based model for peer selection in the Internet at the Autonomous System (AS) level. The proposed model, GENESIS-CBA, is based on realistic constraints and provider selection mechanism, with AS...

    Authors: Aemen Lodhi, Amogh Dhamdhere and Constantine Dovrolis

    Citation: Complex Adaptive Systems Modeling 2013 1:10

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  12. Content type: Review

    We examine the role of information-based measures in detecting and analysing phase transitions. We contend that phase transitions have a general character, visible in transitions in systems as diverse as class...

    Authors: Terry Bossomaier, Lionel Barnett and Michael Harré

    Citation: Complex Adaptive Systems Modeling 2013 1:9

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  13. Content type: Research

    Bioincising is a biotechnological process for improving the permeability of refractory wood such as Norway spruce heartwood using the wood-decay fungus Physisporinus vitreus. The degradation of the bordered pit m...

    Authors: Matthias Jörg Fuhr, Mark Schubert, Chris Stührk, Francis WMR Schwarze and Hans Jürg Herrmann

    Citation: Complex Adaptive Systems Modeling 2013 1:6

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  14. Content type: Research

    A crowd of pedestrians is a complex system in which individuals exhibit conflicting behavioural mechanisms leading to self-organisation phenomena. Computer models for the simulation of crowds represent a conso...

    Authors: Giuseppe Vizzari, Lorenza Manenti and Luca Crociani

    Citation: Complex Adaptive Systems Modeling 2013 1:7

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  15. Content type: Research

    This paper is to describe development of the features and functions of Repast Simphony, the widely used, free, and open source agent-based modeling environment that builds on the Repast 3 library. Repast Simph...

    Authors: Michael J North, Nicholson T Collier, Jonathan Ozik, Eric R Tatara, Charles M Macal, Mark Bragen and Pam Sydelko

    Citation: Complex Adaptive Systems Modeling 2013 1:3

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  16. Content type: Methodology

    This paper proposes a method based on complex networks analysis, devised to perform clustering on multidimensional datasets. In particular, the method maps the elements of the dataset in hand to a weighted net...

    Authors: Giuliano Armano and Marco Alberto Javarone

    Citation: Complex Adaptive Systems Modeling 2013 1:5

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2017 Journal Metrics

  • Speed
    49 days from submission to first decision
    58 days from submission to acceptance
    15 days from acceptance to publication

    Usage 
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    Social Media Impact
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