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Stochastic modeling

A model can be stochastic as well as deterministic. There are many different ways to incorporate nondeterminism into a model. For example, you can assign a randomly generated time value to a transition, event rate, or delay operation. Or a random value or its derivative can be used to determine a message destination address, evaluate a guard expression, or otherwise impact the model behavior.

To enable conducting complicated experiments over stochastic models, AnyLogic supports replication mechanism. Please refer to Optimizing stochastic models article for more information.

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