Hi,
In our model we used random numbers and distributions. When using the experimenter we obtain a wide range of results between replications, from very bad to very good.
Does the experimenter only change the random number and distributions during a replication or does it do something more ?
We could not find any relevant information on the subject in the manual.
Best regards,
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I'm sure you've looked at this tutorial which explains scenarios and replications of an experiment. Basically replications should only change random number stream start seed while scenarios can change variables defined in the experimenter. (Note the format of this will change in 21.0 to model parameters - a Toolbox table)
If you think a replication has a strange result then you can run that interactively by going to the experimenter advanced tab and setting the value of "Repeat Streams of Replication" and see what's going on.
You can change the scenario in the experimenter's scenario tab using the dropdown for "Choose default reset scenario:"
Or in 21.0 beta by selecting the scenario column and pressing "Set model to selected scenario":
Hello Sebastian,
the Experimenter does only change the random numbers, not the distributions itself. They remain the same with the same parameters for every replication.
Can you post the model, if you do not want it public do it in a private post, please. Otherwise it is tough to guess, what causes the wide spread of replication results...
Best wishes
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