Verification and Validation of Agent-based Scientific Simulation Models

Most of the existing model verification and validation techniques are largely used in the industrial and system engineering fields. The agent-based modeling approach is different from traditional equation-based modeling approach in many aspects. As the agent-based modeling approach has recently become an attractive and efficient way for modeling large-scale complex systems, there are few formalized validation methodologies existing for model validation. In our proposed work, we design, develop, adapt, and apply various verification and validation techniques to an agent-based scientific model and investigate the sufficiency of these techniques for the validation of agent-based mod-