By Gomes, M.; Oliveira, T.; Novais, P.
Studies in Computational Intelligence
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.