An information theoretic approach for knowledge representation using Petri nets

Manuel Chiachio; Juan Chiachio; Darren Prescott; John Andrews

doi:10.1109/FTC.2016.7821606

An information theoretic approach for knowledge representation using Petri nets

Manuel Chiachio, Juan Chiachio, Darren Prescott, John Andrews

Naval Architecture, Ocean And Marine Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

9 Citations (Scopus)

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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.

Original language	English
Title of host publication	2016 Future Technologies Conference
Place of Publication	Piscataway, NJ.
Publisher	IEEE
Pages	165-172
Number of pages	8
ISBN (Electronic)	9781509041718
DOIs	https://doi.org/10.1109/FTC.2016.7821606
Publication status	Published - 19 Jan 2017
Event	2016 Future Technologies Conference, FTC 2016 - San Francisco, United States Duration: 6 Dec 2016 → 7 Dec 2016

Conference

Conference	2016 Future Technologies Conference, FTC 2016
Country/Territory	United States
City	San Francisco
Period	6/12/16 → 7/12/16

Keywords

expert systems
knowledge representation
Petri nets

Access to Document

10.1109/FTC.2016.7821606

Chiachio-etal-FTC-2017-An-information-theoretic-approach-for-knowledge-representation-using-Petri-netsAccepted author manuscript, 845 KB

http://eprints.nottingham.ac.uk/39038/

Cite this

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title = "An information theoretic approach for knowledge representation using Petri nets",

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.",

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author = "Manuel Chiachio and Juan Chiachio and Darren Prescott and John Andrews",

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AU - Chiachio, Juan

AU - Prescott, Darren

AU - Andrews, John

N1 - © 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.

PY - 2017/1/19

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N2 - 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.

AB - 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.

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KW - knowledge representation

KW - Petri nets

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DO - 10.1109/FTC.2016.7821606

M3 - Conference contribution book

AN - SCOPUS:85013647887

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Y2 - 6 December 2016 through 7 December 2016

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An information theoretic approach for knowledge representation using Petri nets

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Keywords

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