Executable modeling for system of systems architecting: An Artificial Life Framework

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, hut 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 System. For this, an Artficial 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 norproprietary 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 mid emergent behavior of the system