Abstract
We study a class of dynamic decision problems of mean-field type with time-inconsistent cost functionals and derive a stochastic maximum principle to characterize sub-game perfect equilibrium points. Subsequently, this approach is extended to a mean-field game to construct decentralized strategies and obtain an estimate of their performance.
Original language | English (US) |
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Pages (from-to) | 55-81 |
Number of pages | 27 |
Journal | Dynamic Games and Applications |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Mar 1 2016 |
Keywords
- Equilibrium
- Maximum principle
- Mean-field game
- Mean-field SDE
- Time-inconsistent stochastic control
ASJC Scopus subject areas
- Statistics and Probability
- Economics and Econometrics
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Computational Theory and Mathematics
- Computational Mathematics
- Applied Mathematics