Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory

The main goal is to reveal the 1-concavity property for a subclass of cost games called data cost games. The motivation for the study of the 1-concavity property is the appealing theoretical results for both the core and the nucleolus, in particular their geometrical characterization as well as thei...

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Main Authors: Dongshuang Hou, Theo Driessen
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/249543
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spelling doaj-d59ca16836ae4a4f964641d1bd8c49b32020-11-24T23:48:02ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/249543249543Data Cost Games as an Application of 1-Concavity in Cooperative Game TheoryDongshuang Hou0Theo Driessen1Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710129, ChinaDepartment of Applied Mathematics, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 7500 AE Enschede, The NetherlandsThe main goal is to reveal the 1-concavity property for a subclass of cost games called data cost games. The motivation for the study of the 1-concavity property is the appealing theoretical results for both the core and the nucleolus, in particular their geometrical characterization as well as their additivity property. The characteristic cost function of the original data cost game assigns to every coalition the additive cost of reproducing the data the coalition does not own. The underlying data and cost sharing situation is composed of three components, namely, the player set, the collection of data sets for individuals, and the additive cost function on the whole data set. The proof of 1-concavity is direct, but robust to a suitable generalization of the characteristic cost function. As an adjunct, the 1-concavity property is shown for the subclass of so-called “bicycle” cost games, inclusive of the data cost games in which the individual data sets are nested in a decreasing order.http://dx.doi.org/10.1155/2014/249543
collection DOAJ
language English
format Article
sources DOAJ
author Dongshuang Hou
Theo Driessen
spellingShingle Dongshuang Hou
Theo Driessen
Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory
Journal of Applied Mathematics
author_facet Dongshuang Hou
Theo Driessen
author_sort Dongshuang Hou
title Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory
title_short Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory
title_full Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory
title_fullStr Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory
title_full_unstemmed Data Cost Games as an Application of 1-Concavity in Cooperative Game Theory
title_sort data cost games as an application of 1-concavity in cooperative game theory
publisher Hindawi Limited
series Journal of Applied Mathematics
issn 1110-757X
1687-0042
publishDate 2014-01-01
description The main goal is to reveal the 1-concavity property for a subclass of cost games called data cost games. The motivation for the study of the 1-concavity property is the appealing theoretical results for both the core and the nucleolus, in particular their geometrical characterization as well as their additivity property. The characteristic cost function of the original data cost game assigns to every coalition the additive cost of reproducing the data the coalition does not own. The underlying data and cost sharing situation is composed of three components, namely, the player set, the collection of data sets for individuals, and the additive cost function on the whole data set. The proof of 1-concavity is direct, but robust to a suitable generalization of the characteristic cost function. As an adjunct, the 1-concavity property is shown for the subclass of so-called “bicycle” cost games, inclusive of the data cost games in which the individual data sets are nested in a decreasing order.
url http://dx.doi.org/10.1155/2014/249543
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