Privacy-Preserving Strategy for Negotiating Stable, Equitable and Optimal Matchings

Abstract : The assignment problem has a wide variety of applications and in particular, it can be applied to any two-sided market. In this paper, we propose a multi-agent framework to distributively solve this kind of assignment problems, by providing agents which negotiate with respect to their preferences. We present here a realisation of the minimal concession strategy. Our realisation of the minimal concession strategy has useful properties: it preserves the privacy and improves the optimality of the solution and the equity amongst the partners.
Type de document :
Communication dans un congrès
Demazeau, Yves; Pechoucek, Michal; Corchado, Juan; Pérez, Javier. 9th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS'11), Apr 2011, Salamanca, Spain. Springer Berlin Heidelberg, Advances on Practical Applications of Agents and Multiagent Systems - 9th International Conference on Practical Applications of Agents and Multiagent Systems, PAAMS 2011, Salamanca, Spain, 6-8 April 2011, 88, pp.97-102, 2011, Advances in Intelligent and Soft Computing. 〈http://dx.doi.org/10.1007/978-3-642-19875-5_12〉. 〈10.1007/978-3-642-19875-5_12〉
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https://hal-emse.ccsd.cnrs.fr/emse-00674789
Contributeur : Florent Breuil <>
Soumis le : mardi 28 février 2012 - 11:15:20
Dernière modification le : jeudi 11 janvier 2018 - 06:20:12

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Maxime Morge, Gauthier Picard. Privacy-Preserving Strategy for Negotiating Stable, Equitable and Optimal Matchings. Demazeau, Yves; Pechoucek, Michal; Corchado, Juan; Pérez, Javier. 9th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS'11), Apr 2011, Salamanca, Spain. Springer Berlin Heidelberg, Advances on Practical Applications of Agents and Multiagent Systems - 9th International Conference on Practical Applications of Agents and Multiagent Systems, PAAMS 2011, Salamanca, Spain, 6-8 April 2011, 88, pp.97-102, 2011, Advances in Intelligent and Soft Computing. 〈http://dx.doi.org/10.1007/978-3-642-19875-5_12〉. 〈10.1007/978-3-642-19875-5_12〉. 〈emse-00674789〉

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