A new paradigm for uncertain knowledge representation by Plausible Petri nets

Chiachío, Manuel, Chiachío, Juan, Prescott, Darren and Andrews, John (2018) A new paradigm for uncertain knowledge representation by Plausible Petri nets. Information Sciences, 453 . pp. 323-345. ISSN 1872-6291

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/948133
Keywords: Petri nets; Information theory; Knowledge representation; Expert systems
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Identification Number: https://doi.org/10.1016/j.ins.2018.04.029
Depositing User: Eprints, Support
Date Deposited: 26 Apr 2018 09:42
Last Modified: 04 May 2020 19:47
URI: https://eprints.nottingham.ac.uk/id/eprint/51406

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