Scholars' Mine
Missouri S&T
Research Repository
Curtis Laws Wilson Library
400 W. 14th Street
Rolla, MO 65409-0060
scholarsmine@mst.edu
| Title: | Executable modeling for system of systems architecting: An artificial life framework | |
| Author (s): | Nil, Kilicay-Ergin Dagli, Cihan H. | |
| Department/Lab Affiliations: | Engineering Management & Systems Engineering | |
| Keywords: | Architecting frameworks artificial life executable modeling financial markets | |
| Issue Date: | 2008-04 | |
| Publisher: | Institute of Electrical and Electronics Engineers IEEE | |
| Citation: | Nil, Kilicay-Ergin., and Dagli, Cihan H. "Executable Modeling for System of Systems Architecting: An Artificial Life Framework." 2nd Annual IEEE Systems Conference 2008. | |
| 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. | |
| Type: | Article - Conference proceedings text | |
| In Title: | 2nd Annual IEEE Systems Conference 2008 | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. allows publisher's final version to be uploaded FULL COPYRIGHT INFORMATION: | |
| Publisher URL: | ||
| Link to this page: | ||
| Full Text: |
|
| title | Executable modeling for system of systems architecting: An artificial life framework | |
| contributor.author | Nil, Kilicay-Ergin | |
| contributor.author | Dagli, Cihan H. | |
| contributor.deptlab | Engineering Management & Systems Engineering | |
| subject | Architecting frameworks | |
| subject | artificial life | |
| subject | executable modeling | |
| subject | financial markets | |
| date.issued | 2008-04 | |
| publisher | Institute of Electrical and Electronics Engineers IEEE | |
| identifier.citation | Nil, Kilicay-Ergin., and Dagli, Cihan H. "Executable Modeling for System of Systems Architecting: An Artificial Life Framework." 2nd Annual IEEE Systems Conference 2008. | |
| identifier.pub.URI | ||
| description.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. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights | allows publisher's final version to be uploaded | |
| rights.URI | ||
| rights.URI | ||
| rights.URI | ||
| relation.isPartOf | 2nd Annual IEEE Systems Conference 2008 | |
| date.accessioned | 2008-07-11T18:47:29Z | |
| date.available | 2008-07-21T20:20:49Z | |
| identifier.persist.URI | ||
| Full Text |
|