Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/6453
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Prof. YEUNG Wing Kay, David | en_US |
dc.contributor.author | Petrosyan, Leon A. | en_US |
dc.date.accessioned | 2021-02-26T02:57:45Z | - |
dc.date.available | 2021-02-26T02:57:45Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Journal of Optimization Theory and Applications, 2004, vol. 120, pp. 651-666. | en_US |
dc.identifier.issn | 0022-3239 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/6453 | - |
dc.description.abstract | Subgame consistency is a fundamental element in the solution of cooperative stochastic differential games. In particular, it ensures that: (i) the extension of the solution policy to a later starting time and to any possible state brought about by the prior optimal behavior of the players would remain optimal; (ii) all players do not have incentive to deviate from the initial plan. In this paper, we develop a mechanism for the derivation of the payoff distribution procedures of subgame consistent solutions in stochastic differential games with transferable payoffs. The payoff distribution procedure of the subgame consistent solution can be identified analytically under different optimality principles. Demonstration of the use of the technique for specific optimality principles is shown with an explicitly solvable game. For the first time, analytically tractable solutions of cooperative stochastic differential games with subgame consistency are derived. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Optimization Theory and Applications | en_US |
dc.title | Subgame consistent cooperative solutions in stochastic differential games | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1023/B:JOTA.0000025714.04164.e4 | - |
crisitem.author.dept | Department of Economics and Finance | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Economics and Finance - Publication |
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