Published on: 13 September 2017
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Published on: 13 September 2017
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We are happy to announce the organization of a thematic series of The Complex Adaptive Systems Modeling Journal, which will feature articles based primarily on or related to work originating from papers at the Annual International Frontiers of Information Technology Conference (Islamabad, Pakistan: Dec 2017). The deadline for article submission is October 31, 2017.
Complex Adaptive Systems Modeling was recently accepted into Clarivate Analytics' Emerging Sources Citation Index (ESCI)! Editor-in-Chief, Muaz Niazi, also participated in a webcast to support this new service and to highlight the importance of CASM's inclusion. To watch this webcast, please click on the link below and complete the quick registration form.
ESCI Webcast with Muaz Niazi
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.
In general, submitted papers should have the following key elements:
For information regarding example topics and cover letter requirements, see Publication and peer review process, below.
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.
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.