Making Petri nets adaptive: A critical review

Document Type

Conference Proceeding

Publication Date

12-1-2005

Abstract

Petri nets are considered as an effective tool to model and analyze the behavior of complex concurrent systems. There is growing interest in the research community to capture the dynamic behavior of real world systems with adaptive features. Their Petri net models are developed to have advanced learning and reasoning capabilities. This paper examines the progress in this field highlighting the efforts focusing on methodologies framed in the adaptive context. © 2005 IEEE.

Identifier

33745134426 (Scopus)

Publication Title

2005 IEEE Networking Sensing and Control Icnsc2005 Proceedings

External Full Text Location

https://doi.org/10.1109/ICNSC.2005.1461266

First Page

644

Last Page

649

Volume

2005

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