TY - GEN
T1 - Executable modeling for system of systems architecting
T2 - 2008 IEEE International Systems Conference Proceedings, SysCon 2008
AU - Kilicay-Ergin, Nil
AU - Dagli, Cihan
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
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U2 - 10.1109/SYSTEMS.2008.4518983
DO - 10.1109/SYSTEMS.2008.4518983
M3 - Conference contribution
AN - SCOPUS:49049114584
SN - 9781424421503
T3 - 2008 IEEE International Systems Conference Proceedings, SysCon 2008
SP - 23
EP - 27
BT - 2008 IEEE International Systems Conference Proceedings, SysCon 2008
Y2 - 7 April 2008 through 10 April 2008
ER -