Maxime Morge's Publications
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Privacy-Preserving Strategy for Negotiating Stable, Equitable and Optimal Matchings
Maxime Morge and Gauthier Picard. Privacy-Preserving Strategy for Negotiating Stable, Equitable and Optimal Matchings. In Proc. of of the 9th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 11), pp. 97–102, Advances in Intelligent and Soft-Computing, Springer, Salamanca, April 2011.
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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.
BibTeX
@InProceedings{morge11paams,
author = {Maxime Morge and Gauthier Picard},
title = {Privacy-Preserving Strategy for Negotiating Stable,
Equitable and Optimal Matchings},
booktitle = {Proc. of of the 9th International Conference on Practical
Applications of Agents and Multi-Agent Systems (PAAMS
11)},
pages = {97-102},
year = {2011},
series = {Advances in Intelligent and Soft-Computing},
address = {Salamanca},
month = {April},
publisher = {Springer},
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.},
bib2html_pubtype = {International Conference},
bib2html_rescat = {MAS, Negotiation},
bib2html_funding = {}
}
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