An information theoretic approach for knowledge representation using Petri nets

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...

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Main Authors: Chiachío, Manuel, Chiachío, Juan, Prescott, Darren, Andrews, John
Format: Conference or Workshop Item
Published: 2016
Online Access:https://eprints.nottingham.ac.uk/39038/
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author Chiachío, Manuel
Chiachío, Juan
Prescott, Darren
Andrews, John
author_facet Chiachío, Manuel
Chiachío, Juan
Prescott, Darren
Andrews, John
author_sort Chiachío, Manuel
building Nottingham Research Data Repository
collection Online Access
description 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 of information. 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.
first_indexed 2025-11-14T19:37:01Z
format Conference or Workshop Item
id nottingham-39038
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:37:01Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling nottingham-390382020-05-04T18:27:10Z https://eprints.nottingham.ac.uk/39038/ An information theoretic approach for knowledge representation using Petri nets Chiachío, Manuel Chiachío, Juan Prescott, Darren Andrews, John 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 of information. 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. 2016-12-07 Conference or Workshop Item PeerReviewed Chiachío, Manuel, Chiachío, Juan, Prescott, Darren and Andrews, John (2016) An information theoretic approach for knowledge representation using Petri nets. In: Future Technologies Conference 2016, 6-7 Dec 2016, San Francisco, USA.
spellingShingle Chiachío, Manuel
Chiachío, Juan
Prescott, Darren
Andrews, John
An information theoretic approach for knowledge representation using Petri nets
title An information theoretic approach for knowledge representation using Petri nets
title_full An information theoretic approach for knowledge representation using Petri nets
title_fullStr An information theoretic approach for knowledge representation using Petri nets
title_full_unstemmed An information theoretic approach for knowledge representation using Petri nets
title_short An information theoretic approach for knowledge representation using Petri nets
title_sort information theoretic approach for knowledge representation using petri nets
url https://eprints.nottingham.ac.uk/39038/