Abstract
| Language | English |
|---|---|
| Pages | 323-345 |
| Number of pages | 23 |
| Journal | Information Sciences |
| Volume | 453 |
| Early online date | 10 Apr 2018 |
| DOIs | |
| Publication status | Published - 31 Jul 2018 |
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Keywords
- Petri nets
- information theory
- knowledge re
- expert systems
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A new paradigm for uncertain knowledge representation by Plausible Petri nets. / Chiachío, Manuel; Chiachío, Juan; Prescott, Darren; Andrews, John.
In: Information Sciences, Vol. 453, 31.07.2018, p. 323-345.Research output: Contribution to journal › Article
TY - JOUR
T1 - A new paradigm for uncertain knowledge representation by Plausible Petri nets
AU - Chiachío, Manuel
AU - Chiachío, Juan
AU - Prescott, Darren
AU - Andrews, John
PY - 2018/7/31
Y1 - 2018/7/31
N2 - 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.
AB - 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.
KW - Petri nets
KW - information theory
KW - knowledge re
KW - expert systems
UR - https://www.sciencedirect.com/journal/information-sciences
U2 - 10.1016/j.ins.2018.04.029
DO - 10.1016/j.ins.2018.04.029
M3 - Article
VL - 453
SP - 323
EP - 345
JO - Information Sciences
T2 - Information Sciences
JF - Information Sciences
SN - 0020-0255
ER -