{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T13:54:07Z","timestamp":1761486847237},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2002,9]]},"abstract":"<jats:p> We address the problem of diagnosing complex discrete-event systems such as telecommunication networks. Given a flow of observations from the system, the goal is to explain those observations by identifying and localizing possible faults. Several model-based diagnosis approaches deal with this problem but they need the computation of a global model which is not feasible for complex systems like telecommunication networks. Our contribution is the proposal of a decentralized approach which permits to carry out an on-line diagnosis without computing the global model. This paper describes the implementation of a tool based on this approach. Given a decentralized model of the system and a flow of observations, the program analyzes the flow and computes the diagnosis in a decentralized way. The impact of the merging strategy on the global efficiency is demonstrated and illustrated by experimental results on a real application. <\/jats:p>","DOI":"10.1142\/s0218213002000927","type":"journal-article","created":{"date-parts":[[2002,9,6]],"date-time":"2002-09-06T07:07:48Z","timestamp":1031296068000},"page":"327-346","source":"Crossref","is-referenced-by-count":14,"title":["A DECENTRALIZED MODEL-BASED DIAGNOSTIC TOOL FOR COMPLEX SYSTEMS"],"prefix":"10.1142","volume":"11","author":[{"given":"Y.","family":"PENCOL\u00c9","sequence":"first","affiliation":[{"name":"IRISA, University of Rennes 1, campus de Beaulieu, 35000 RennesFrance"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.-O.","family":"CORDIER","sequence":"additional","affiliation":[{"name":"IRISA, University of Rennes 1, campus de Beaulieu, 35000 RennesFrance"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"L.","family":"ROZ\u00c9","sequence":"additional","affiliation":[{"name":"IRISA, INSA, campus de Beaulieu,  35000 RennesFrance"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213002000927","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:13:32Z","timestamp":1565133212000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213002000927"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,9]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2002,9]]}},"alternative-id":["10.1142\/S0218213002000927"],"URL":"https:\/\/doi.org\/10.1142\/s0218213002000927","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,9]]}}}