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The Robust Weighted Multi-Objective Game
This paper studies a class of multi-objective n-person non-zero sum games through a robust weighted approach where each player has more than one competing objective. This robust weighted multi-objective game model assumes that each player attaches a set of weights to its objectives instead of access...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583224/ https://www.ncbi.nlm.nih.gov/pubmed/26406986 http://dx.doi.org/10.1371/journal.pone.0138970 |
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author | Qu, Shaojian Ji, Ying Goh, Mark |
author_facet | Qu, Shaojian Ji, Ying Goh, Mark |
author_sort | Qu, Shaojian |
collection | PubMed |
description | This paper studies a class of multi-objective n-person non-zero sum games through a robust weighted approach where each player has more than one competing objective. This robust weighted multi-objective game model assumes that each player attaches a set of weights to its objectives instead of accessing accurate weights. Each player wishes to minimize its maximum weighted sum objective where the maximization is pointing to the set of weights. To address this new model, a new equilibrium concept-robust weighted Nash equilibrium is obtained. The existence of this new concept is proven on suitable assumptions about the multi-objective payoffs. |
format | Online Article Text |
id | pubmed-4583224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45832242015-10-02 The Robust Weighted Multi-Objective Game Qu, Shaojian Ji, Ying Goh, Mark PLoS One Research Article This paper studies a class of multi-objective n-person non-zero sum games through a robust weighted approach where each player has more than one competing objective. This robust weighted multi-objective game model assumes that each player attaches a set of weights to its objectives instead of accessing accurate weights. Each player wishes to minimize its maximum weighted sum objective where the maximization is pointing to the set of weights. To address this new model, a new equilibrium concept-robust weighted Nash equilibrium is obtained. The existence of this new concept is proven on suitable assumptions about the multi-objective payoffs. Public Library of Science 2015-09-25 /pmc/articles/PMC4583224/ /pubmed/26406986 http://dx.doi.org/10.1371/journal.pone.0138970 Text en © 2015 Qu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Qu, Shaojian Ji, Ying Goh, Mark The Robust Weighted Multi-Objective Game |
title | The Robust Weighted Multi-Objective Game |
title_full | The Robust Weighted Multi-Objective Game |
title_fullStr | The Robust Weighted Multi-Objective Game |
title_full_unstemmed | The Robust Weighted Multi-Objective Game |
title_short | The Robust Weighted Multi-Objective Game |
title_sort | robust weighted multi-objective game |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4583224/ https://www.ncbi.nlm.nih.gov/pubmed/26406986 http://dx.doi.org/10.1371/journal.pone.0138970 |
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