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- W1595637716 abstract "AbstractThe 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.KeywordsAssignment ProblemMultiagent SystemStable MatchPreference ListPrefer PartnerThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1595637716 created "2016-06-24" @default.
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- W1595637716 date "2011-01-01" @default.
- W1595637716 modified "2023-09-24" @default.
- W1595637716 title "Privacy-Preserving Strategy for Negotiating Stable, Equitable and Optimal Matchings" @default.
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- W1595637716 doi "https://doi.org/10.1007/978-3-642-19875-5_12" @default.
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