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AuthorHasseln, Hermann vondc.contributor.author
AuthorMartignon, Lauradc.contributor.author
Date of accession2016-03-15T09:03:43Zdc.date.accessioned
Available in OPARU since2016-03-15T09:03:43Zdc.date.available
Year of creation1992dc.date.created
AbstractStochastic networks are given by graphs, whose vertices (nodes, neurons or spins) can take one out of a finite number of states at any given time. The way each vertex changes its state over time is determined by the edges connecting it with other vertices. The edges represent probabilistic dependencies. Updating is usually performed in a parallel or sequential way. Stochastic networks are used to model expert sytems; in this context confidence numbers are given as dependencies between vertices and the problem is to see, to what extent they are stochastically consistent. Given a graph and a set (or subset) of confidence numbers, we give a procedure that, starting from these confidence numbers, leads to local characteristics which are consistent with the graph.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHExpert systems (Computer science)dc.subject.lcsh
LCSHMarkov processesdc.subject.lcsh
LCSHStochastic modelsdc.subject.lcsh
TitleConsistency in stochastic networksdc.title
Resource typeBerichtdc.type
DOIhttp://dx.doi.org/10.18725/OPARU-2447dc.identifier.doi
PPN1651705232dc.identifier.ppn
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-vts-81945dc.identifier.urn
GNDStochastisches Modelldc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften und Informatikuulm.affiliationGeneral
Date of activation2012-09-07T23:07:03Zuulm.freischaltungVTS
Peer reviewneinuulm.peerReview
Shelfmark print versionQAA 5/A4.92,9uulm.shelfmark
DCMI TypeTextuulm.typeDCMI
VTS-ID8194uulm.vtsID
CategoryPublikationenuulm.category
Ulm seriesUlmer Informatik-Berichteuulm.seriesUlmName


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