Paper Info
Title
Bottom-up approaches to achieve Pareto optimal agreements in group decision making
Abstract
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.
Year
DOI
Venue
2019
10.1007/s10115-018-01325-y
KNOWLEDGE AND INFORMATION SYSTEMS
Keywords
Field
DocType
Agreement technologies,Automated negotiation,Pareto optimality,Group decision making,Multi-agent systems
Mathematical optimization,Computer science,Conflict resolution,Top-down and bottom-up design,Multi-agent system,Pareto optimal,Artificial intelligence,Pareto principle,Machine learning,Group decision-making,Negotiation
Journal
Volume
Issue
ISSN
61.0
2.0
0219-1377
Citations 
PageRank 
References 
0
0.34
29
Authors
7
Name
Order
Citations
PageRank
Victor Sanchez-Anguix110214.87
Reyhan Aydoǧan25112.96
Reyhan Aydoǧan35112.96
Tim Baarslag424223.57
Tim Baarslag524223.57
Catholijn M. Jonker62252241.53
Catholijn M. Jonker72252241.53