Sinossi
nature md generation characteristics of model behavior; and - simulators such as aircraft simulator, earthquake simulator where physical analog can be
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Contenuti
Section 1: Conceptual Bases for System Modelling and Design.- 1: Model-Based Activities: A Paradigm Shift.- 2: System Paradigms as Reality Mappings.- 3: General Systems Framework for Inductive Modelling.- 4: System Theoretic Foundations of Modelling and Simulation.- 5: The Tricotyledon Theory of System Design.- 6: Concepts for Model-Based Policy Construction.- Section 2: Model-Based Simulation Architecture.- 7: Structures for Model-Based Simulation Systems.- 8: Symbolic Manipulation of System Models.- 9: Concepts for an Advanced Parallel Simulation Architecture.- Section 3: Impact of Formalisms on Model Specification.- 10: GEST―A Modelling and Simulation Language Based on System Theoretic Concepts.- 11: Continuous and Discontinuous-Change Models: Concepts for Simulation Languages.- 12: Discrete Event Formalism and Simulation Model Development.- Section 4: Model Identification, Reconstruction, and Optimization.- 13: Structure Characterization for I11-Defined Systems.- 14: Reconstructability Analysis: An Overview.- 15: SAPS―A Software System for Inductive Modelling.- 16: Optimization in Simulation Studies.- Section 5: Quality Assurance in Model-Based Activities.- 17: Quality Assurance in Modelling and Simulation: A Taxonomy.- 18: How to Enhance the Robustness of Simulation Software.- 19: Simulation Model Validation.- 20: Critical Issues in Evaluating Socio-Economic Models.- Section 6: Contributed Workshop Presentations.- Group 1: Model-Based Simulation Architecture.- Group 2: Impact of Formalisms on Model Specification.- Group 3: Model Identification, Reconstruction, and Optimization.- Group 4: Quality Assurance in Model-Based Activities.
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