Abstract
In cooperative games over time with uncertainty, a stringent condition (subgame consistency) is required for a dynamically stable solution. In particular, a cooperative solution is subgame consistent if an extension of the solution policy to a situation with a later starting time and any feasible state brought about by prior optimal behavior would remain optimal. This paper derives an analytically tractable payoff distribution procedure leading to the realization of subgame consistent solutions in cooperative stochastic dynamic games. This is the first time that subgame consistent solutions in discrete-time dynamic games under uncertainty are provided.
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Communicated by George Leitmann.
This research was supported by the Research Grant Council of Hong Kong RGC Grant No. 202807 and the EU TOCSIN Project.
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Yeung, D.W.K., Petrosyan, L.A. Subgame Consistent Solutions for Cooperative Stochastic Dynamic Games. J Optim Theory Appl 145, 579–596 (2010). https://doi.org/10.1007/s10957-010-9702-5
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DOI: https://doi.org/10.1007/s10957-010-9702-5