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Mean-Field Type Games between Two Players Driven by Backward Stochastic Differential Equations
KTH, Skolan för teknikvetenskap (SCI), Matematik (Inst.), Matematisk statistik.
2018 (engelsk)Inngår i: Games, ISSN 2073-4336, E-ISSN 2073-4336, Vol. 9, nr 5Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In this paper, mean-field type games between two players with backward stochastic dynamics are defined and studied. They make up a class of non-zero-sum, non-cooperating, differential games where the players’ state dynamics solve backward stochastic differential equations (BSDE) that depend on the marginal distributions of player states. Players try to minimize their individual cost functionals, also depending on the marginal state distributions. Under some regularity conditions, we derive necessary and sufficient conditions for existence of Nash equilibria. Player behavior is illustrated by numerical examples, and is compared to a centrally planned solution where the social cost, the sum of playercosts, is minimized. The inefficiency of a Nash equilibrium, compared to socially optimal behavior, is quantified by the so-called price of anarchy. Numerical simulations of the price of anarchy indicate how the improvement in social cost achievable by a central planner depends on problem parameters.

sted, utgiver, år, opplag, sider
2018. Vol. 9, nr 5
Emneord [en]
Backward stochastic differential equations; Cooperative game; Linear-quadratic stochastic control; Mean-field type game; Non-zero-sum differential game; Price of anarchy; Social cost
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Identifikatorer
URN: urn:nbn:se:kth:diva-248531DOI: 10.3390/g9040088Scopus ID: 2-s2.0-85056271574OAI: oai:DiVA.org:kth-248531DiVA, id: diva2:1303364
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QC 20190514

Tilgjengelig fra: 2019-04-09 Laget: 2019-04-09 Sist oppdatert: 2019-05-20bibliografisk kontrollert

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