Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50540

TitleA dynamic default revision mechanism for speculative computation
Author(s)Oliveira, Tiago José Martins
Satoh, Ken
Novais, Paulo
Neves, José
Hosobe, Hiroshi
KeywordsDefault Revision
Incomplete Information
Speculative Computation
Bayesian Networks
Issue date2017
PublisherSpringer
JournalAutonomous Agents and Multi-Agent Systems
CitationOliveira T., Satoh K., Novais P., Neves J., Hosobe H., A Dynamic Default Revision Mechanism for Speculative Computation, Journal of Autonomous Agents and Multi-Agent Systems, Springer, ISSN: 1387-2532, Volume 31, Issue 3, pp 656–695, 2017. http://dx.doi.org/10.1007/s10458-016-9341-9,
Abstract(s)In this work a default revision mechanism is introduced into Speculative Computation to manage incomplete information. The default revision is supported by a method for the generation of default constraints based on Bayesian Networks. The method enables the generation of an initial set of defaults which is used to produce the most likely scenarios during the computation, represented by active processes. As facts arrive, the Bayesian Network is used to derive new defaults. The objective with such a new dynamic mechanism is to keep the active processes coherent with arrived facts. This is achieved by changing the initial set of default constraints during the reasoning process in Speculative Computation. A practical example in clinical decision support is described.
TypeArticle
URIhttp://hdl.handle.net/1822/50540
DOI10.1007/s10458-016-9341-9
ISSN1387-2532
e-ISSN1573-7454
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals


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