Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/50493

TitleA speculative computation approach for conflict styles assessment with incomplete information
Author(s)Gomes, Marco
Oliveira, T.
Novais, Paulo
KeywordsIntelligent System
Speculative Computation
Conflict Styles
Conflict Styles
Issue date2017
PublisherSpringer
JournalStudies in Computational Intelligence
CitationGomes M., Oliveira T., Novais P., A Speculative Computation Approach for Conflict Styles Assessment with Incomplete Information, Intelligent Distributed Computing X, Springer-Verlag - Studies in Computational Intelligence, Costin Badica, Amal El Fallah Seghrouchni, Aurélie Beynier, David Camacho, Cédric Herpson, Koen Hindriks and Paulo Novais (Eds), Vol. 678, pp 163-172, ISBN: 978-3-319-48828-8, 2017. http://dx.doi.org/10.1007/978-3-319-48829-5_16
Abstract(s)Thispaperanalysesawaytocopewithincompleteinformation,namely information regarding the conflict style used by parties. This analysis is important because it enables us to develop a more accurate and informed conflict style classification method to promote better strategies. To develop this proposal, an experiment using a combination of Bayesian Networks with Speculative Computation is depicted. Thus, in this work, was firstly identified and applied a set of methods for classifying conflict styles with incomplete information; secondly, the approach was validating opposing data collected from a web-based negotiationgame.Fromtheexperimentoutcomes,wecanconcludedthatitispossibleto copewithincompleteinformationbyproducingvalidconflictstyledefaultvalues and, particularly, to anticipate competing postures through the dynamic generation of recommendations for a conflict manager. The findings suggest that this approach is suitable for handling incomplete information in this context and can be applied in a viable and feasible way.
TypeConference paper
URIhttp://hdl.handle.net/1822/50493
ISBN9783319488288
DOI10.1007/978-3-319-48829-5_16
ISSN1860-949X
Publisher versionhttps://link.springer.com/chapter/10.1007%2F978-3-319-48829-5_16
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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