Bottom-up approaches to achieve Pareto optimal agreements in group decision making
| Autor: | Reyhan Aydoğan, Catholijn M. Jonker, Tim Baarslag, Victor Sanchez-Anguix |
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| Přispěvatelé: | Centrum Wiskunde & Informatica, Amsterdam (CWI), The Netherlands |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Pareto optimality
Mathematical optimization Computer science Multi-agent system media_common.quotation_subject Agreement technologies Multi-agent systems Pareto principle Top-down and bottom-up design Outcome (game theory) Variety (cybernetics) Group decision-making Automated negotiation Human-Computer Interaction Group decision making Negotiation Artificial Intelligence Hardware and Architecture Conflict resolution Software Information Systems media_common |
| Zdroj: | Knowledge and Information Systems, 61(2) Knowledge and Information Systems, 61, 1019-1046 |
| ISSN: | 0219-1377 1019-1046 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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