{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T05:27:31Z","timestamp":1740461251673,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>Many real-world Bayesian networks are expected to exhibit commonly known properties of monotonicity. Since monotonicity violations may be introduced despite careful engineering efforts, these properties need be verified before using a network in practice. We will show that the problem of verifying monotonicity in general has a prohibitively high computational complexity. We will argue however, that the runtime complexity involved can be substantially reduced by using a tailored algorithm which we coined provisional propagation. By means of this algorithm in fact, verifying monotonicity may become feasible for a range of real-world networks.<\/jats:p>","DOI":"10.3233\/978-1-61499-419-0-759","type":"book-chapter","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T11:59:50Z","timestamp":1740398390000},"source":"Crossref","is-referenced-by-count":0,"title":["Provisional Propagation for Verifying Monotonicity of Bayesian Networks"],"prefix":"10.3233","author":[{"family":"Rietbergen Merel T.","sequence":"additional","affiliation":[]},{"family":"van der Gaag Linda C.","sequence":"additional","affiliation":[]},{"family":"Bodlaender Hans L.","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2014"],"original-title":[],"deposited":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T12:17:29Z","timestamp":1740399449000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=263&spage=759"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-419-0-759","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2014]]}}}