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Characterization and Detection of ϵ-Berge-Zhukovskii Equilibria.

Lung RI, Suciu M, Gaskó N, Dumitrescu D - PLoS ONE (2015)

Bottom Line: The Berge-Zhukovskii equilibrium is an alternate solution concept in non-cooperative game theory that formalizes cooperation in a noncooperative setting.The generative relation also provides a solution to the problem of computing the ϵ-Berge-Zhukovskii equilibrium for large games, by using evolutionary algorithms.Numerical examples illustrate the approach and provide a possible application for this equilibrium concept.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Economics and Business Administration, Babeş-Bolyai University, Cluj-Napoca, Romania.

ABSTRACT
The Berge-Zhukovskii equilibrium is an alternate solution concept in non-cooperative game theory that formalizes cooperation in a noncooperative setting. In this paper, the ϵ-Berge-Zhukovskii equilibrium is introduced and characterized by using a generative relation. The generative relation also provides a solution to the problem of computing the ϵ-Berge-Zhukovskii equilibrium for large games, by using evolutionary algorithms. Numerical examples illustrate the approach and provide a possible application for this equilibrium concept.

No MeSH data available.


BEO.NMI box-plots for LFR B networks, μ ∈ {0.1, 0.2, …, 0.6} and with ϵ ∈ {0, 10−1, 10−2, 10−3, 10−4, 10−5}.
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pone.0131983.g004: BEO.NMI box-plots for LFR B networks, μ ∈ {0.1, 0.2, …, 0.6} and with ϵ ∈ {0, 10−1, 10−2, 10−3, 10−4, 10−5}.

Mentions: The results obtained for the synthetic networks for various values of ϵ are represented as boxplots in Figs 2, 3, and 4.


Characterization and Detection of ϵ-Berge-Zhukovskii Equilibria.

Lung RI, Suciu M, Gaskó N, Dumitrescu D - PLoS ONE (2015)

BEO.NMI box-plots for LFR B networks, μ ∈ {0.1, 0.2, …, 0.6} and with ϵ ∈ {0, 10−1, 10−2, 10−3, 10−4, 10−5}.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4503462&req=5

pone.0131983.g004: BEO.NMI box-plots for LFR B networks, μ ∈ {0.1, 0.2, …, 0.6} and with ϵ ∈ {0, 10−1, 10−2, 10−3, 10−4, 10−5}.
Mentions: The results obtained for the synthetic networks for various values of ϵ are represented as boxplots in Figs 2, 3, and 4.

Bottom Line: The Berge-Zhukovskii equilibrium is an alternate solution concept in non-cooperative game theory that formalizes cooperation in a noncooperative setting.The generative relation also provides a solution to the problem of computing the ϵ-Berge-Zhukovskii equilibrium for large games, by using evolutionary algorithms.Numerical examples illustrate the approach and provide a possible application for this equilibrium concept.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Economics and Business Administration, Babeş-Bolyai University, Cluj-Napoca, Romania.

ABSTRACT
The Berge-Zhukovskii equilibrium is an alternate solution concept in non-cooperative game theory that formalizes cooperation in a noncooperative setting. In this paper, the ϵ-Berge-Zhukovskii equilibrium is introduced and characterized by using a generative relation. The generative relation also provides a solution to the problem of computing the ϵ-Berge-Zhukovskii equilibrium for large games, by using evolutionary algorithms. Numerical examples illustrate the approach and provide a possible application for this equilibrium concept.

No MeSH data available.