DocumentCode
239288
Title
A multi-paradigm modeling framework for modeling and simulating problem situations
Author
Lynch, Christopher ; Padilla, Jose ; Diallo, Saikou ; Sokolowski, John ; Banks, Catherine
Author_Institution
Virginia Modeling, Anal. & Simulation Center, Old Dominion Univ., Suffolk, VA, USA
fYear
2014
fDate
7-10 Dec. 2014
Firstpage
1688
Lastpage
1699
Abstract
This paper proposes a multi-paradigm modeling framework (MPMF) for modeling and simulating problem situations (problems whose specification is not agreed upon). The MPMF allows for a different set of questions to be addressed from a problem situation than is possible through the use of a single modeling paradigm. The framework identifies different levels of granularity (macro, meso, and micro) from what is known and assumed about the problem situation. These levels of granularity are independently mapped to different modeling paradigms. These modeling paradigms are then combined to provide a comprehensive model and corresponding simulation of the problem situation. Finally, the MPMF is implemented to model and simulate the problem situation of representing the spread of obesity.
Keywords
formal specification; formal verification; granularity level; macrolevel framework; mesolevel framework; microlevel framework; multiparadigm modeling framework; Analytical models; Buildings; Complexity theory; Computational modeling; Data models; Obesity; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), 2014 Winter
Conference_Location
Savanah, GA
Print_ISBN
978-1-4799-7484-9
Type
conf
DOI
10.1109/WSC.2014.7020019
Filename
7020019
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