Abstract
This paper deals with the idea of calculating probabilities and percentages with Petri nets. Uncertainty can be expressed with Petri nets as one place with multiple output transitions. In that case, the transition that fires are selected randomly while each transition has the same chance to fire. This paper presents the idea of assigning a weight to a transition that will be used to modify the chance at which a concurrent transition can fire. Higher weight increases the chance of firing when an uncertain situation occurs. We want to later use this to simulate university students chance to successfully complete a university course.
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This research has been supported by University Grant Agency under the contract No. VII/12/2018 and KEGA 036UKF-4/2019.
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Kuchárik, M., Balogh, Z. (2019). Modeling of Uncertainty with Petri Nets. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_43
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