There is a diversity of frameworks and methodologies for enabling architecture developments. Static representation frameworks provide a standardized way to communicate the architecture to stakeholders, but do not provide means to analyze the system states and system behavior. Therefore, there is a need to convert static representation frameworks to executable models. The aim of this paper is to present Artificial Life approaches as a methodology for understanding behavior of System of Systems. For this, an Artificial Life based framework for modeling System of Systems is presented. The framework comprises cognitive architectures embedded in multi-agent models. Financial markets are selected as an analysis domain to demonstrate the framework since they are a good example of self-organizing systems that are nonproprietary and exhibit emergence on a grand scale. From the Artificial Life Framework trader-based architectures are formulated as models to analyze system level behavior. The Artificial Life based framework provides a flexible way of modeling sub-systems of System of Systems and it captures the adaptive and emergent behavior of the system.
K. Nil and C. H. Dagli, "Executable Modeling for System of Systems Architecting: An Artificial Life Framework," Proceedings of the 2nd Annual IEEE Systems Conference 2008, Institute of Electrical and Electronics Engineers (IEEE), Apr 2008.
The definitive version is available at http://dx.doi.org/10.1109/SYSTEMS.2008.4518983
2nd Annual IEEE Systems Conference 2008
Engineering Management and Systems Engineering
Keywords and Phrases
Architecting Frameworks; Artificial Life; Executable Modeling; Financial Markets
Article - Conference proceedings
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