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.
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Updated
Jan 9, 2023 - Python
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.
A lightweight tool for modeling and simulation of Stochastic Petri Nets (SPNs).
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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