Articles
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Research
Complex Adaptive Systems Modeling 2013, 1:12 (26 April 2013)An agent-based framework for performance modeling of an optimistic parallel discrete event simulator
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Research
Complex Adaptive Systems Modeling 2013, 1:11 (24 April 2013)Large-scale global optimization through consensus of opinions over complex networks
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Research
Complex Adaptive Systems Modeling 2013, 1:10 (24 April 2013)GENESIS-CBA: An Agent-based Model of Peer Evaluation and Selection in the Internet Interdomain Network
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Review
Complex Adaptive Systems Modeling 2013, 1:9 (8 April 2013)Information and phase transitions in socio-economic systems
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Research
Complex Adaptive Systems Modeling 2013, 1:8 (8 April 2013)Information theoretical methods for complex network structure reconstruction
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Open special issues
This Special Issue intends to publish high quality original research as well as review articles on case studies, models and methods for the modeling and simulation of large-scale computer communication networks using either of the following two approaches:
- Complex networks (such as modeled using tools such as Gephi, Network Workbench and others)
- Agent-based models (such as based on NetLogo, Repast, Mason, Swarm and others)
Deadline for submissions: June 15, 2013
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: November 30, 2012
Multidisciplinary Applications and Methods for Agent-based Modeling
Agent-based modeling is a vital technique for studying Complex Adaptive Systems (CAS) as evidenced by the growing body of literature spanning disciplines ranging from Biology to the Social Sciences to Computer Science. This inaugural special issue of Springer Complex Adaptive Systems Modeling (CASM) will publish key papers documenting multidisciplinary methods and applications for agent-based modeling of CAS.
Deadline for submissions: November 30, 2012
Aims & scope
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.
Editor's quote
"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
"Paradoxically, the best way to understand complex systems is to design models that simulate their behavior from a particular perspective. This is why I find the CASM initiative important and timely."
Tamas Vicsek, Eotvos University
CASM Journal Advisory Board Member
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