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dc.contributor.authorGomes, Diogo A.
dc.contributor.authorLafleche, Laurent
dc.contributor.authorNurbekyan, Levon
dc.date.accessioned2017-01-02T09:28:26Z
dc.date.available2017-01-02T09:28:26Z
dc.date.issued2016-08-05
dc.identifier.citationGomes D, Lafleche L, Nurbekyan L (2016) A mean-field game economic growth model. 2016 American Control Conference (ACC). Available: http://dx.doi.org/10.1109/ACC.2016.7526095.
dc.identifier.doi10.1109/ACC.2016.7526095
dc.identifier.urihttp://hdl.handle.net/10754/622367
dc.description.abstractHere, we examine a mean-field game (MFG) that models the economic growth of a population of non-cooperative, rational agents. In this MFG, agents are described by two state variables - the capital and consumer goods they own. Each agent seeks to maximize his/her utility by taking into account statistical data about the whole population. The individual actions drive the evolution of the players, and a market-clearing condition determines the relative price of capital and consumer goods. We study the existence and uniqueness of optimal strategies of the agents and develop numerical methods to compute these strategies and the equilibrium price.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleA mean-field game economic growth model
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentCenter for Uncertainty Quantification in Computational Science and Engineering (SRI-UQ)
dc.contributor.departmentKAUST VSRP Program, Saudi Arabia
dc.identifier.journal2016 American Control Conference (ACC)
dc.conference.date2016-07-06 to 2016-07-08
dc.conference.name2016 American Control Conference, ACC 2016
dc.conference.locationBoston, MA, USA
dc.identifier.arxividarXiv:1509.08650
kaust.personGomes, Diogo A.
kaust.personLafleche, Laurent
kaust.personNurbekyan, Levon
dc.date.published-online2016-08-05
dc.date.published-print2016-07


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