Game-theoretic methods for stochastic control and decision-making under uncertainty relative to the state in the conditions of the associated base: I

Authors
Citation
V. Baranov, Game-theoretic methods for stochastic control and decision-making under uncertainty relative to the state in the conditions of the associated base: I, J COMP SYST, 39(3), 2000, pp. 373-382
Citations number
14
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL
ISSN journal
10642307 → ACNP
Volume
39
Issue
3
Year of publication
2000
Pages
373 - 382
Database
ISI
SICI code
1064-2307(200005/06)39:3<373:GMFSCA>2.0.ZU;2-7
Abstract
The problem of stochastic control and decision-making under uncertainty rel ative to the state in the conditions when the dynamics is given on the outc omes is considered. Game-theoretic methods for decisionmaking, based on the decomposition of the problem into a set of interdependent problems of cont rol, diagnosis of the state, and choice of structural alternatives, whose s olutions are dynamic equilibria, are developed. Existence conditions and cr iteria are obtained. Computational algorithms for the dynamical and epsilon -stationary equilibria are designed.