Title :
Executable Modeling for System of Systems Architecting: An Artificial Life Framework
Author :
Kilicay-Ergin, Nil ; Dagli, Cihan
Author_Institution :
Eng. Manage. & Syst. Eng. Dept., Missouri Univ. of Sci. & Technol., Rolla, MO
Abstract :
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.
Keywords :
artificial life; cognitive systems; finance; multi-agent systems; self-adjusting systems; artificial life framework; cognitive architectures; executable modeling; financial markets; multi-agent models; self-organizing systems; systems architecting; Adaptive systems; Collaboration; Content addressable storage; Diversity methods; Performance analysis; Process design; Research and development management; Systems engineering and theory; USA Councils; Architecting Frameworks; Artificial Life; Executable Modeling; Financial Markets;
Conference_Titel :
Systems Conference, 2008 2nd Annual IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-2149-7
Electronic_ISBN :
978-1-4244-2150-3
DOI :
10.1109/SYSTEMS.2008.4518983