Probabilistic diagnostics with P-graphs

Polgár, Balázs and Selényi, Endre: Probabilistic diagnostics with P-graphs. Acta cybernetica, (16) 2. pp. 279-291. (2003)

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This paper presents a novel approach for solving the probabilistic diagnosis problem in multiprocessor systems. The main idea of the algorithm is based on the reformulation of the diagnostic procedure as a P-graph model. The same, well-elaborated mathematical paradigm - originally used to model material flow - can be applied in our approach to model information flow. This idea is illustrated by deriving a maximum likelihood diagnostic decision procedure. The diagnostic accuracy of the solution is considered on the basis of simulation measurements, and a method of constructing a general framework for different aspects of a complex problem is demonstrated with the use of P-graph models.

Item Type: Article
Event Title: Conference for PhD Students in Computer Science, 3., 2002, Szeged
Journal or Publication Title: Acta cybernetica
Date: 2003
Volume: 16
Number: 2
Page Range: pp. 279-291
ISSN: 0324-721X
Language: angol
Uncontrolled Keywords: Természettudomány, Informatika
Additional Information: Bibliogr.: p. 290-291.; Abstract
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2018. Apr. 11. 16:43

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