An information theoretic approach for knowledge representation using Petri nets

Manuel Chiachio, Juan Chiachio, Darren Prescott, John Andrews

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

6 Citations (Scopus)
11 Downloads (Pure)


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 languageEnglish
Title of host publication2016 Future Technologies Conference
Place of PublicationPiscataway, NJ.
Number of pages8
ISBN (Electronic)9781509041718
Publication statusPublished - 19 Jan 2017
Event2016 Future Technologies Conference, FTC 2016 - San Francisco, United States
Duration: 6 Dec 20167 Dec 2016


Conference2016 Future Technologies Conference, FTC 2016
Country/TerritoryUnited States
CitySan Francisco


  • expert systems
  • knowledge representation
  • Petri nets


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