Computer Simulation Validation

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.