A lightweight tool for modeling and simulation of Stochastic Petri Nets (SPNs).
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Updated
Nov 13, 2024 - Python
A lightweight tool for modeling and simulation of Stochastic Petri Nets (SPNs).
Framework that allows the design, execution and analysis of generalized stochastic Petri nets (GSPN). It allows capturing multi-robot problems as a GSPN and simulate the model.
Code implementing an estimation framework and evaluation test scaffold for Stochastic Process Discovery, as described in "Burke, A, Leemans, S.J.J and Wynn, M. T. - Stochastic Process Discovery By Weight Estimation"
Python API to create generalized stochastic Petri nets (GSPNs). It allows to capture multi-robot problems as a GSPN and simulate the model.
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