We study a class of dynamic decision problems of mean field type with timeinconsistent cost functionals, and derive a stochastic maximum principle tocharacterize subgame perfect Nash equilibrium points. Subsequently, thisapproach is extended to a mean field game to construct decentralized strategiesand obtain an estimate of their performance.
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