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

Nil Kilicay-Ergin, Cihan Dagli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2008 IEEE International Systems Conference Proceedings, SysCon 2008
Pages23-27
Number of pages5
DOIs
StatePublished - Aug 14 2008
Event2008 IEEE International Systems Conference Proceedings, SysCon 2008 - Montreal, QC, Canada
Duration: Apr 7 2008Apr 10 2008

Publication series

Name2008 IEEE International Systems Conference Proceedings, SysCon 2008

Other

Other2008 IEEE International Systems Conference Proceedings, SysCon 2008
CountryCanada
CityMontreal, QC
Period4/7/084/10/08

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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