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ASPECTS OF COMPUTATIONAL MODELING • Procedural as separate from equational or axiomatic – E.g., cellular automata, Monte Carlo simulations for solving systems of PDEs numerically • Constructivist, or very nearly so, in nature – “if you can’t t build it, you don’t t understand it” (Langton) – Artifact-building vs. theory-building • Emergent behavior vs. hierarchical decomposition & recomposition • Types of models – “what is”; ; descriptive (ex: discrete event simulation) – “what should be”; ; prescriptive (ex: optimization) – “what will be”; ; predictive (ex: econometric forecasting) – “what could be”; ; constructive (ex: artificial life)
EXAMPLES OF COMPUTATIONAL MODELING FOR SOME REFERENCE DISCIPLINES • Biology: DNA and the genome; artificial life [Keller 2002] • Physics: numerical analysis of systems of PDEs • Mathematics: Mathematica [Wolfram 2002] • Finance: options pricing
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: COMPUTATIONAL SCIENCE • Computati
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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