| Dynamic model abstraction |
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Winter Simulation Conference
archive
Proceedings of the 28th conference on Winter simulation
table of contents
Coronado, California, United States
Pages: 764 - 771
Year of Publication: 1996
ISBN:0-7803-3383-7
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Authors
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Kangsun Lee
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Department of Computer and Information Science and Engineering, University of Florida, Bldg. CSE, Room 301, Gainesville, FL
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Paul A. Fishwick
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Department of Computer and Information Science and Engineering, University of Florida, Bldg. CSE, Room 301, Gainesville, FL
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IEEE Computer Society
Washington, DC, USA
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| Bibliometrics |
Downloads (6 Weeks): 1, Downloads (12 Months): 23, Citation Count: 3
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ABSTRACT
While complex behavior can be generated through simple systems, as in chaotic and nonlinear systems, complex systems axe found where a systems study contains multiple physical objects and interactions. Through the use of hierarchy, we are able to simplify and organize the complex system. Every level within the hierarchy may be refined into another level. System abstraction involves simplification through structural system representation as well as through behavioral approximations of executed model structure. There has been little work on creating a unified taxonomy for model abstraction. We present such a taxonomy and define two major sub-fields of model abstraction, while illustrating both sub-fields through detailed examples. The introduction of this taxonomy provides system and simulation researchers with a way in which to view and manage complex systems.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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