A speculative computation approach for conflict styles assessment with incomplete information

Abstract

This paper analyses a way to cope with incomplete information,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 negotiation game. From the experiment outcomes,we can concluded that it is possible to cope with incomplete information by producing valid conflict style default values 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.