Computer Simulation Validation
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Computer Simulation Validation
Fundamental Concepts, Methodological Frameworks, and Philosophical Perspectives
Saam, Nicole J.; Beisbart, Claus
Springer International Publishing AG
04/2019
1074
Dura
Inglês
9783319707655
15 a 20 dias
1771
Descrição não disponível.
Introduction.- Part I: Foundations - Basic Conceptions in Simulation Model Validation.- What Is Validation of Computer Simulations?.- Simulation Accuracy, Uncertainty, and Predictive Capability.- Verification and Validation Principles from a Systems Perspective.- Errors and Uncertainties.- Part II: Foundations - Validation as a Scientific Method: Philosophical Frameworks for Thinking about Validation.- Invalidation of Models and Fitness-for-purpose.- Simulation Validation from a Bayesian Perspective.- Validation of Computer Simulations from a Kuhnian Perspective.- Understanding Simulation Validation.- Part III: Methodology - Preparatory Steps.- Assessing the Credibility of Conceptual Models.- The Foundations of Verification in Modeling and Simulation.- The Method of Manufactured Solutions for Code Verification.- Validation Metrics: A Case for Pattern-based Methods.- Analyzing Output from Stochastic Computer Simulations.- Part IV: Methodology - Points of Reference and Related Techniques.- The Use of Experimental Data in Simulation Model Validation.- How to Use and Derive Stylized Facts for Validating Simulation Models.- The Users' Judgements.- Validation Benchmarks and Related Metrics.- Part V: Methodology - Mathematical Frameworks and Related Techniques.- Testing Simulation Models Using Frequentist Statistics.- Validation Using Bayesian Methods.- Imprecise Probabilities.- Objective Uncertainty Quantification.- Part VI: Methodology - The Organization and Management of Simulation Validation .- Standards for Evaluation of Atmospheric Models in Environmental Meteorology.- The Management of Simulation Validation.- Valid and Reproducible Simulation Studies.- Part VII: Validation at Work - Best Practice-Examples.- Validation of Particle Physics Simulation.- Validation in Fluid Dynamics and Related Fields.- Astrophysical Validation.- Validation in Weather Forecasting.- Validation of Climate Models: An Essential Practice.- Validation of Agent-based Models in Economics and Finance.- Part VIII: Challenges in Simulation Model Validation.- Validation and Equifinality.- Validation and Overparameterization.- Uncertainty Quantification Using Multiple Models.- Challenges to Simulation Validation in the Social Sciences.- Validation and the Uniqueness of Historical Events.- Part IX: Reflecting on Simulation Validation: Philosophical Perspectives and Discussion Points.- What Is a Computer Simulation and What Does This Mean for Simulation Validation?.- How Do the Validations of Simulations and Experiments Compare?.- How Does Holism Challenge the Validation of Computer Simulation?.- What Types of Values Enter Simulation Validation and What are Their Roles?.- Calibration, Validation, and Confirmation.- Should Validation and Verification Be Separated Strictly?.- The Multi-Dimensional Epistemology of Computer Simulations.
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Computer Simulation;Simulation Model;Validation;Verification;Methodology;Epistemology;Uncertainty;Error
Introduction.- Part I: Foundations - Basic Conceptions in Simulation Model Validation.- What Is Validation of Computer Simulations?.- Simulation Accuracy, Uncertainty, and Predictive Capability.- Verification and Validation Principles from a Systems Perspective.- Errors and Uncertainties.- Part II: Foundations - Validation as a Scientific Method: Philosophical Frameworks for Thinking about Validation.- Invalidation of Models and Fitness-for-purpose.- Simulation Validation from a Bayesian Perspective.- Validation of Computer Simulations from a Kuhnian Perspective.- Understanding Simulation Validation.- Part III: Methodology - Preparatory Steps.- Assessing the Credibility of Conceptual Models.- The Foundations of Verification in Modeling and Simulation.- The Method of Manufactured Solutions for Code Verification.- Validation Metrics: A Case for Pattern-based Methods.- Analyzing Output from Stochastic Computer Simulations.- Part IV: Methodology - Points of Reference and Related Techniques.- The Use of Experimental Data in Simulation Model Validation.- How to Use and Derive Stylized Facts for Validating Simulation Models.- The Users' Judgements.- Validation Benchmarks and Related Metrics.- Part V: Methodology - Mathematical Frameworks and Related Techniques.- Testing Simulation Models Using Frequentist Statistics.- Validation Using Bayesian Methods.- Imprecise Probabilities.- Objective Uncertainty Quantification.- Part VI: Methodology - The Organization and Management of Simulation Validation .- Standards for Evaluation of Atmospheric Models in Environmental Meteorology.- The Management of Simulation Validation.- Valid and Reproducible Simulation Studies.- Part VII: Validation at Work - Best Practice-Examples.- Validation of Particle Physics Simulation.- Validation in Fluid Dynamics and Related Fields.- Astrophysical Validation.- Validation in Weather Forecasting.- Validation of Climate Models: An Essential Practice.- Validation of Agent-based Models in Economics and Finance.- Part VIII: Challenges in Simulation Model Validation.- Validation and Equifinality.- Validation and Overparameterization.- Uncertainty Quantification Using Multiple Models.- Challenges to Simulation Validation in the Social Sciences.- Validation and the Uniqueness of Historical Events.- Part IX: Reflecting on Simulation Validation: Philosophical Perspectives and Discussion Points.- What Is a Computer Simulation and What Does This Mean for Simulation Validation?.- How Do the Validations of Simulations and Experiments Compare?.- How Does Holism Challenge the Validation of Computer Simulation?.- What Types of Values Enter Simulation Validation and What are Their Roles?.- Calibration, Validation, and Confirmation.- Should Validation and Verification Be Separated Strictly?.- The Multi-Dimensional Epistemology of Computer Simulations.
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