Based on a laboratory study of a multimodal interaction task, an approach for modeling rule-based behavior with stochastic Petri Nets is introduced. A reference task network is developed and is compared to alternative models from the mathematical theory of stochastic processes with the help of dynamic discrete-event simulation. The results of inferential statistics demonstrate the superiority of the reference task network.
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