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MODEL MANAGEMENT REDUX: MODEL MANAGEMENT SYSTEM “If DBMS, why not MMS?” Desirable Requirements/Features of an MMS: • Support entire modeling life cycle • Uniform representation of models • Modeling languages • Portfolio of cross-paradigm OR/MS models • Library of solvers • Model integration • Separation of models and data • Separation of models and solvers • Leverage RDBMS for data manipulation Central issue: Model Representation
MODEL MANAGEMENT REDUX: MODEL REPRESENTATION Theoretical driver: Is there a way to represent models that is comparable in power to the relational theory representation of data? • Relational (Blanning) • Object-oriented (Dolk) • Structured modeling (Geoffrion) • Logic modeling (Bhargava, Kimbrough) • Graph grammars (C. Jones) • Metagraphs (Blanning, Basu)
Page 1 and 2: NEXT GENERATION MODEL MANAGEMENT AN
Page 3 and 4: SCIENTIFIC METHOD, 15 TH -20 TH CEN
Page 5: MODEL MANAGEMENT REDUX • “The p
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 and 40: EXAMPLE: EVACUATION SOCIETY
Page 41: STRUCTURED MODELING and the 21 st C

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