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.