An information theoretic approach for knowledge representation using Petri nets
Chiachio, Manuel and Chiachio, Juan and Prescott, Darren and Andrews, John; (2017) An information theoretic approach for knowledge representation using Petri nets. In: 2016 Future Technologies Conference. IEEE, USA, pp. 165-172. ISBN 9781509041718 (https://doi.org/10.1109/FTC.2016.7821606)
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Abstract
A new hybrid approach for Petri nets (PNs) is proposed in this paper by combining the PNs principles with the foundations of information theory for knowledge representation. The resulting PNs have been named Plausible Petri nets (PPNs) mainly because they can handle the evolution of a discrete event system together with uncertain (plausible) information about the system using states ofinformation. This paper overviews the main concepts of classical PNs and presents a method to allow uncertain information exchange about a state variable within the system dynamics. The resulting methodology is exemplified using an idealized expert system, which illustrates some of the challenges faced in real-world applications of PPNs.
ORCID iDs
Chiachio, Manuel, Chiachio, Juan ORCID: https://orcid.org/0000-0003-1243-8694, Prescott, Darren and Andrews, John;-
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Item type: Book Section ID code: 65430 Dates: DateEvent19 January 2017Published1 June 2016AcceptedNotes: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 14 Sep 2018 12:08 Last modified: 12 Dec 2024 01:19 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65430