Modeling of, and Reasoning with Recurrent Events with Imprecise Durations
Author(s) -
Stan Kurkovsky,
Rasiah Loganantharaj
Publication year - 2000
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-67689-9
DOI - 10.1007/3-540-45049-1_33
Subject(s) - petri net , computer science , artificial intelligence , machine learning , algorithm
In this paper we study how the framework of Petri nets can be extended and applied to study recurrent events. We use possibility theory to realistically model temporal properties of the recurrent processes being modeled by an extended Petri net. Such temporal properties include time-stamps stored in tokens and durations of firing the transitions. We apply our method to model the recurrent behavior of an automated manufacturing cell.
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