Read BookDiscrete-Time Stochastic Control and Dynamic Potential Games (SpringerBriefs in Mathematics)

[Download PDF.DLNQ] Discrete-Time Stochastic Control and Dynamic Potential Games (SpringerBriefs in Mathematics)

[Download PDF.DLNQ] Discrete-Time Stochastic Control and Dynamic Potential Games (SpringerBriefs in Mathematics)

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Book Details :
Published on: 2013-09-20
Released on: 2013-09-20
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There are several techniques to study noncooperative dynamic games, such as dynamic programming and the maximum principle (also called the Lagrange method). It turns out, however, that one way to characterize dynamic potential games requires to analyze inverse optimal control problems, and it is here where the Euler equation approach comes in because it is particularly well–suited to solve inverse problems. Despite the importance of dynamic potential games, there is no systematic study about them. This monograph is the first attempt to provide a systematic, self–contained presentation of stochastic dynamic potential games. Journal of Artificial Societies and Social Simulation Index Volume 18(4) published on 31-Oct-2015. Modelling Research Policy: Ex-Ante Evaluation of Complex Policy Instruments Petra Ahrweiler Michel Schilperoord Andreas Pyka ...
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