Theories and Simulations of Complex Social Systems

Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research.

We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.

• Complex Social Systems
• Computational Intelligence
• Computational Modelling Techniques
• Conceptual Models
• Public Health
• Public Safety and Security
• Urban Dynamics

• The IRMACS Centre, The MoCSSy Program, Simon Fraser University, Burnaby, Canada

  Vahid Dabbaghian

• Department of Computer Science, Troy University, Troy, USA

  Vijay Kumar Mago

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