This paper studies simulation-based optimization with multiple outputs. It assumes that the simulation model has one random objective function and must satisfy given constraints on the other random outputs. It presents a statistical procedure for test- ing whether a specific input combination...

Agent-based models have recently become very popular. However, it is often difficult to communicate the models' complexity and assumptions. Hence, criticising them becomes a challenging task. This paper addresses this problem and discusses different ways to increase the transparency and...