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| Title: | Artificial life framework: cognitive architecture embedded in multi-agent models |
| Author (s): | Kilicay-Ergin, Nil Dagli, Cihan H. |
| Department/Lab Affiliations: | Engineering Management & Systems Engineering Smart Engineering Systems Lab |
| Keywords: | architectural modeling architectural models system of systems |
| Issue Date: | 2008-04 |
| Publisher: | Unknown Publisher |
| Citation: | Kilicay Ergin, N. and Dagli, C.H. Artificial Life Framework: Cognitive Architecture Embedded in Multi-agent Models. Conference on Systems Engineering Research CSER 2008, Paper 152, (April 2008). |
| Abstract: | In this paper, an Artificial Life based framework for modelling 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. From the Artificial Life framework, a trader-based architecture is formulated as a model to analyze system level behaviour. Sloman’s H-Cogaff cognitive architecture is utilized as a blue-print to design trader architecture. Agent-based artificial stock market is designed to observe market dynamics under the designed trader architecture. The paper discusses the potential use of this framework for other system of systems problems. The framework provides a flexible way of modelling subsystems of System of Systems and captures the adaptive and emergent behaviour of the system. |
| Type: | Article - Conference proceedings text |
| In Title: | Conference on Systems Engineering Research CSER 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. Publisher and copyright holder unknown, no full text allowed. FULL COPYRIGHT INFORMATION: |
| Link to this page: | |
| URL: |
| title | Artificial life framework: cognitive architecture embedded in multi-agent models |
| contributor.author | Kilicay-Ergin, Nil |
| contributor.author | Dagli, Cihan H. |
| contributor.deptlab | Engineering Management & Systems Engineering |
| contributor.deptlab | Smart Engineering Systems Lab |
| subject | architectural modeling |
| subject | architectural models |
| subject | system of systems |
| date.issued | 2008-04 |
| publisher | Unknown Publisher |
| identifier.URI | |
| identifier.citation | Kilicay Ergin, N. and Dagli, C.H. Artificial Life Framework: Cognitive Architecture Embedded in Multi-agent Models. Conference on Systems Engineering Research CSER 2008, Paper 152, (April 2008). |
| description.abstract | In this paper, an Artificial Life based framework for modelling 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. From the Artificial Life framework, a trader-based architecture is formulated as a model to analyze system level behaviour. Sloman’s H-Cogaff cognitive architecture is utilized as a blue-print to design trader architecture. Agent-based artificial stock market is designed to observe market dynamics under the designed trader architecture. The paper discusses the potential use of this framework for other system of systems problems. The framework provides a flexible way of modelling subsystems of System of Systems and captures the adaptive and emergent behaviour of the system. |
| type | Article - Conference proceedings |
| type.DCMIType | text |
| relation.isPartOf | Conference on Systems Engineering Research CSER 2008 |
| 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 | Publisher and copyright holder unknown, no full text allowed. |
| rights.URI | |
| date.available | 2009-01-20T19:42:40Z |
| identifier.persist.URI |