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Content Provider | IEEE Xplore Digital Library |
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Author | Basar, Tamer Li, Shu |
Copyright Year | 1985 |
Description | Author affiliation: Decision and Control Laboratory, Coordinated Science Laboratory, University of Illinois, 1101 West Springfield Avenue, Urbana, Illinois 61801 (Basar, Tamer; Li, Shu) |
Abstract | We consider in this paper a class of stochastic team and nonzero-sum game problems with more than two agents who have access to decentralized information and may build their own subjective probability models to be used in the decision process. There is, in general, no compatibility between different models built by different agents, and this makes the available theory on teams and games inapplicable to our problem. We discuss different equilibrium solutions to the team and game problems in this multimodelling framework, and develop convergent algorithms which would lead to such an equilibrium under a number of conditions and for different probabilistic models. As a by-product of our analysis, we obtain a recursive algorithm which provides a solution to quadratic teams when the underlying distributions are not Gaussian. |
Starting Page | 231 |
Ending Page | 236 |
File Size | 397513 |
Page Count | 6 |
File Format | |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1985-06-19 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | American Automatic Control Council(AACC) |
Subject Keyword | Stochastic processes Random variables Nash equilibrium Game theory Algorithm design and analysis Extraterrestrial measurements Loss measurement Cost function Pareto optimization Terminology |
Content Type | Text |
Resource Type | Article |
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