Polgár Balázs and Selényi Endre: Probabilistic diagnostics with P-graphs. In: Acta cybernetica, (16) 2. pp. 279-291. (2003)
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Abstract
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 |
|---|---|
| Journal or Publication Title: | Acta cybernetica |
| Date: | 2003 |
| Volume: | 16 |
| Number: | 2 |
| ISSN: | 0324-721X |
| Page Range: | pp. 279-291 |
| Language: | English |
| Place of Publication: | Szeged |
| Event Title: | Conference for PhD Students in Computer Science (3.) (2002) (Szeged) |
| Related URLs: | http://acta.bibl.u-szeged.hu/38516/ |
| Uncontrolled Keywords: | Számítástechnika, Kibernetika |
| Additional Information: | Bibliogr.: p. 290-291. ; összefoglalás angol nyelven |
| Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
| Date Deposited: | 2016. Oct. 15. 12:25 |
| Last Modified: | 2022. Jun. 15. 08:15 |
| URI: | http://acta.bibl.u-szeged.hu/id/eprint/12723 |
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