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

Name: Bottom-up approaches to achieve Pareto optimal agreements in group decision making
Author: Sanchez-Anguix, V., Aydoğan, Reyhan, Baarslag, T., Jonker, C.

İsim	Bottom-up approaches to achieve Pareto optimal agreements in group decision making
Yazar	Sanchez-Anguix, V., Aydoğan, Reyhan, Baarslag, T., Jonker, C.
Basım Tarihi:	2019-11
Basım Yeri	- Springer Nature
Konu	Agreement technologies, Automated negotiation, Pareto optimality, Group decision making, Multi-agent systems
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0219-1377
Kayıt Numarası	5a4c6455-7ae6-4de0-b579-4a82b8a3a21f
Lokasyon	Computer Science
Tarih	2019-11
Notlar	Netherlands Organization for Scientific Research (NWO) ; ITEA M2MGrids Project
Örnek Metin	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.
DOI	10.1007/s10115-018-01325-y
Cilt	61

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

Yazar Sanchez-Anguix, V., Aydoğan, Reyhan, Baarslag, T., Jonker, C.

Basım Tarihi 2019-11

Basım Yeri - Springer Nature

Konu Agreement technologies, Automated negotiation, Pareto optimality, Group decision making, Multi-agent systems

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0219-1377

Kayıt Numarası 5a4c6455-7ae6-4de0-b579-4a82b8a3a21f

Lokasyon Computer Science

Tarih 2019-11

Notlar Netherlands Organization for Scientific Research (NWO) ; ITEA M2MGrids Project

Örnek Metin 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.

DOI 10.1007/s10115-018-01325-y

Cilt 61