[alife] CFP: Special Issue of Springer Complex Adaptive Systems Modeling on Agent-based Modeling

[Muaz Niazi]

Apologies if you receive multiple posts
http://www.casmodeling.com/

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. Agent-based modeling has
become essential for the study of CAS. Many documented techniques and proven
applications have emerged. This inaugural Special Issue will help
consolidate these diverse ideas in a single volume and also help to
introduce CASM to relevant communities. This Special Issue is reserved for
detailed papers documenting successful agent-based modeling methodologies
and application case studies in areas including, but not limited to, the
following: 

-	Life sciences such as Ecology , Biology, Biochemistry, Cancer, and
Epidemiology 
-	Social sciences 
-	Reconfigurable energy 
-	Economics 
-	Communication networks and environments including large-scale
wireless sensor networks, peer-to-peer networks, the Internet of Things,
Cloud computing and (use of agent-based modeling for simulating) Multi-agent
systems 
-	Verification, validation, and accreditation of agent-based models 
-	Methods for development and analysis of agent-based models 

Submission Instructions: 
Before submission authors should carefully read over the Instructions for
Authors, which are located at casmodeling.com/authors/instructions.
Prospective authors should submit an electronic copy of their complete
manuscript through the SpringerOpen submission system at
casmodeling.com/manuscript according to the submission schedule. They should
specify the manuscript as a submission to the "Special Issue on
Multidisciplinary Applications and Methods for Agent-based Modeling" in the
cover letter. All submissions will undergo initial screening by the Guest
Editors for fit to the theme of the Special Issue and prospects for
successfully negotiating the review process. 

Lead Guest Editor 
Michael North, Argonne National Laboratories Email north at anl.gov 

Guest Editors 
Charles Macal, Argonne National Laboratories Email macal at anl.gov 
Ted Carmichael, University of North Carolina Email tedsaid at gmail.com 
Muaz A. Niazi, Bahria University, Pakistan Email muaz.niazi at gmail.com

Kind regards,

Muaz Niazi