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
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.