Verification, validation, and accreditation
Proceedings of the 30th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Validation and verification of simulation models
WSC '04 Proceedings of the 36th conference on Winter simulation
Design and Analysis of Experiments
Design and Analysis of Experiments
A validation methodology for agent-based simulations
Proceedings of the 2008 ACM symposium on Applied computing
Validating MAS simulation models with mutation
Multiagent and Grid Systems - Multi-agent systems for medicine, computational biology, and bioinformatics
An autonomic ENUM implementation in network simulator-2
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
ASM'10 Proceedings of the 4th international conference on Applied mathematics, simulation, modelling
Credibility and validation of simulation models for tactical IP networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Formal simulation model to optimize building sustainability
Advances in Engineering Software
Hi-index | 0.00 |
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discussions with subject-matter experts, interacting with the decision-maker on a regular basis, development of a written conceptual model, structured walk-through of the conceptual model, use of sensitivity analysis to determine important model factors, and comparison of model and system output data for an existing system (if any). Each idea will be illustrated by one or more real-world examples. We will also discuss the difficulty in using formal statistical techniques (e.g., confidence intervals) to validate simulation models.