Stochastic game modelling for distributed constraint reasoning with privacy

Julien Savaux, Julien Vion, Sylvain Piechowiak, René Mandiau, Toshihiro Matsui, Katsutoshi Hirayama, Makoto Yokoo, Shakre Elmane, Marius Silaghi

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Privacy has been a major concern for agents in distributed constraint reasoning. In this work, we approach this issue in distributed constraint reasoning by letting agents compromise solution quality for preserving privacy, using utility theory. We formalize privacy in the context of distributed constraint reasoning, detail its different aspects, and present model and solvers, as well as their properties. We then show how distributed constraint reasoning with privacy requirements can be modelled as a planning problem, and more specifically as a stochastic game.

Original languageEnglish
Publication statusPublished - 2018
Event2018 International Symposium on Artificial Intelligence and Mathematics, ISAIM 2018 - Fort Lauderdale, United States
Duration: Jan 3 2018Jan 5 2018

Conference

Conference2018 International Symposium on Artificial Intelligence and Mathematics, ISAIM 2018
Country/TerritoryUnited States
CityFort Lauderdale
Period1/3/181/5/18

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Artificial Intelligence

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