2018/04/10 by Manuel Chiachío, Juan Chiachío, Darren Prescott +1 · 1 citation
Computer Science · Business, Management and Accounting · Decision Sciences · Mathematics · #Petri Nets in System Modeling #Business Process Modeling and Analysis #Simulation Techniques and Applications #Petri net #Computer science #Representation (politics) #Theoretical computer science #State (computer science) #Knowledge representation and reasoning #Process architecture #Event (particle physics) #Feature (linguistics) #Algebraic number #Artificial intelligence #Mathematics #Algorithm
paper · pdf · doi:10.1016/j.ins.2018.04.029
openalex publication_date 2018/04/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/02
This paper presents a new model for Petri nets (PNs) which combines PN principles with the foundations of information theory for uncertain knowledge representation. The resulting framework has been named Plausible Petri nets (PPNs). The main feature of PPNs resides in their efficiency to jointly consider the evolution of a discrete event system together with uncertain information about the system state using states of information. The paper overviews relevant concepts of information theory and uncertainty representation, and presents an algebraic method to formally consider the evolution of uncertain state variables within the PN dynamics. To illustrate some of the real-world challenges relating to uncertainty that can be handled using a PPN, an example of an expert system is provided, demonstrating how condition monitoring data and expert opinion can be modelled.