Bottom-up approaches to achieve Pareto optimal agreements in group decision making

Victor Sanchez-Anguix, Aydo Reyhan, Tim Baarslag, Catholijn Jonker

Research output: Contribution to journalArticleAcademicpeer-review


In this article, we introduce a new paradigm to achieve Pareto optimality in group decision-making processes: bottom-up approaches to Pareto optimality. It is based on the idea that, while resolving a conflict in a group, individuals may trust some members more than others; thus, they may be willing to cooperate and share more information with those members. Therefore, one can divide the group into subgroups where more cooperative mechanisms can be formed to reach Pareto optimal outcomes. This is the first work that studies such use of a bottom-up approach to achieve Pareto optimality in conflict resolution in groups. First, we prove that an outcome that is Pareto optimal for subgroups is also Pareto optimal for the group as a whole. Then, we empirically analyze the appropriate conditions and achievable performance when applying bottom-up approaches under a wide variety of scenarios based on real-life datasets. The results show that bottom-up approaches are a viable mechanism to achieve Pareto optimality with applications to group decision-making, negotiation teams, and decision making in open environments.
Original languageEnglish
Pages (from-to)1019-1046
Number of pages28
JournalKnowledge and Information Systems
Issue number2
Publication statusPublished - 1 Nov 2019


Dive into the research topics of 'Bottom-up approaches to achieve Pareto optimal agreements in group decision making'. Together they form a unique fingerprint.

Cite this