After reading this article about BehaviourSpace in Netlogo in which the author stated that "[...] the model is stochastic, you need to run each parameter setting many times to be statistically sure about this", I was wondering how much repetitions are enough to be "statistically sure" about the findings in virtual experiments?
In general you can use the formula mentioned in the question here to establish confidence in a randomized (monte carlo) simulation: https://stats.stackexchange.com/questions/95779/required-number-of-simulations-for-monte-carlo-analysis