Handle URI:
http://hdl.handle.net/10754/623966
Title:
Mean Field Game for Marriage
Authors:
Bauso, Dario; Dia, Ben Mansour; Djehiche, Boualem; Tembine, Hamidou; Tempone, Raul ( 0000-0003-1967-4446 )
Abstract:
The myth of marriage has been and is still a fascinating historical societal phenomenon. Paradoxically, the empirical divorce rates are at an all-time high. This work describes a unique paradigm for preserving relationships and marital stability from mean-field game theory. We show that optimizing the long-term well-being via effort and society feeling state distribution will help in stabilizing relationships.
KAUST Department:
Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Conference/Event name:
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
Issue Date:
6-Jan-2014
Type:
Poster
Appears in Collections:
Posters; Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)

Full metadata record

DC FieldValue Language
dc.contributor.authorBauso, Darioen
dc.contributor.authorDia, Ben Mansouren
dc.contributor.authorDjehiche, Boualemen
dc.contributor.authorTembine, Hamidouen
dc.contributor.authorTempone, Raulen
dc.date.accessioned2017-06-01T10:20:41Z-
dc.date.available2017-06-01T10:20:41Z-
dc.date.issued2014-01-06-
dc.identifier.urihttp://hdl.handle.net/10754/623966-
dc.description.abstractThe myth of marriage has been and is still a fascinating historical societal phenomenon. Paradoxically, the empirical divorce rates are at an all-time high. This work describes a unique paradigm for preserving relationships and marital stability from mean-field game theory. We show that optimizing the long-term well-being via effort and society feeling state distribution will help in stabilizing relationships.en
dc.subjectApplicationsen
dc.titleMean Field Game for Marriageen
dc.typePosteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)en
dc.conference.dateJanuary 6-10, 2014en
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)en
dc.conference.locationKAUSTen
dc.contributor.institutionUniversità di Palermoen
dc.contributor.institutionKTH Royal Institute of Technology in Stockholmen
kaust.authorDia, Ben Mansouren
kaust.authorTembine, Hamidouen
kaust.authorTempone, Raulen
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