Computational modeling and formal analysis techniques in interdisciplinary studies of complex systems

TL;DRAbstract

Computational methods offer new problem solving and analysis techniques that play a key role in advancing the boundaries of many research disciplines. Particularly for social systems, the precision and rigor offered by mathematical models facilitate establishing a clear understanding of the underlying complex system. Computational models also allow for dynamic testing and computer-assisted experiments that may be impossible to carry out in the real world. Modeling something as complex and diverse as a social system is a highly iterative and potentially open-ended process calling for software development techniques that address its specific needs. We present an integrated methodological framework and tool environment for design, validation, and simulation of models of complex social systems. We illustrate consistency and applicability of the framework through novel applications in two different interdisciplinary contexts: Computational Criminology and Identity Management Systems (IMS).

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