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BENEFITS of SoS APPROACH • Enables distributed development • Heterogeneity is supported by allowing independent development of o Member designs • Autonomous management is enabled by linking Members to information instead of to other Members • Avoids publisher-subscriber subscriber dependence • Society of Simulations approach allows simulations to cooperate, yet remain autonomous, an inherently modular and scalable approach for linking heterogeneous simulations. • Example: Urban Resolve 2015 (15 simulations, 6 of which use SoS; 2000 players; 2 weeks duration) • SoS works primarily at the syntactic level; Next step: extend to the t semantic level (Semantic Web)
STRUCTURED MODELING and the 21 st CENTURY • UML, ERD still do not support decision models and OR/MS applications • OLAP Extension: SM and OLAP • Model Standardization: SM and XML • SM and Ontology • SM and KM: Wikipedia counterpart for models • Dynamic SM • SM and Computational Modeling: opportunities in the life sciences?
Page 1 and 2: NEXT GENERATION MODEL MANAGEMENT AN
Page 3 and 4: SCIENTIFIC METHOD, 15 TH -20 TH CEN
Page 5 and 6: MODEL MANAGEMENT REDUX • “The p
Page 7 and 8: MODEL MANAGEMENT REDUX: MODEL REPRE
Page 9 and 10: SM ELEMENTAL DETAIL TABLES FOR FEED
Page 11 and 12: LIMITATIONS OF STRUCTURED MODELING
Page 13 and 14: LIMITATIONS OF 1 st GENERATION MODE
Page 15 and 16: ELEMENTS OF NEXT GENERATION MODEL M
Page 17 and 18: COMPUTATIONAL SCIENCE • Computati
Page 19 and 20: EXAMPLES OF COMPUTATIONAL MODELING
Page 21 and 22: COMPUTATIONAL EXPERIMENTATION • C
Page 23 and 24: MODEL DYNAMICS AND VIRTUAL ENVIRONM
Page 25 and 26: SOCIETY of SIMULATIONS COMPONENTS
Page 27 and 28: APPLICATION AREA: SEMANTIC WEB •
Page 29 and 30: APPLICATION AREA: SERVICES MANAGEME
Page 31 and 32: Backup Slides
Page 33 and 34: REFERENCES (cont’d) • EVOLUTION
Page 35 and 36: SOCIETY of SIMULATIONS: MEMBER COMP
Page 37 and 38: SOCIETY of SIMULATIONS: SHARED REAL
Page 39: EXAMPLE: EVACUATION SOCIETY

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