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This article is cited in 7 scientific papers (total in 7 papers)
Stochastic Systems
Awareness and control decentralization: stochastic case
M. A. Gorelov, F. I. Ereshko Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia
Abstract:
The problem of decision-making under risk is considered. It is assumed that the operating party (also called the Principal) can process only a limited amount of information about an uncertain factor and reckons upon the expected value of his payoff. Two control modes are compared. In the first mode, decision-making is centralized. In the second, the operating party delegates some of his decision authority to several agents. It is assumed that the operating party knows the interests of agents and relies on their rational behavior; in all other respects, the operating party is cautious about the uncertainty of their choice.
Keywords:
decision-making under risk, information theory of hierarchical systems, control decentralization.
Citation:
M. A. Gorelov, F. I. Ereshko, “Awareness and control decentralization: stochastic case”, Avtomat. i Telemekh., 2020, no. 1, 52–66; Autom. Remote Control, 81:1 (2020), 41–52
Linking options:
https://www.mathnet.ru/eng/at15418 https://www.mathnet.ru/eng/at/y2020/i1/p52
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Statistics & downloads: |
Abstract page: | 318 | Full-text PDF : | 50 | References: | 48 | First page: | 33 |
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