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
Link To Document :
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