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.
Recommended Citation
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 https://doi.org/10.1109/SYSTEMS.2008.4518983
Meeting Name
2nd Annual IEEE Systems Conference 2008
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Architecting Frameworks; Artificial Life; Executable Modeling; Financial Markets
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2008 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Apr 2008
