Operations Research, Systems Engineering and Industrial Engineering Commons^™

Executable Modeling For System Of Systems Architecting: An Artificial Life Framework, Kilicay-Ergin Nil, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

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 …