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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2019 Issue 7, Pages 105–121 (Mi at15301)

This article is cited in 3 papers

Intellectual Control Systems, Data Analysis

Risk management in hierarchical games with random factors

M. A. Gorelov

Federal Research Center for Computer Science and Control, Russian Academy of Sciences, Moscow, Russia

Abstract: A game-theoretic model of the Principal-agent type is considered, in which the result of an agent’s activity depends not only on his/her choice but also on some random factor. The Principal is assumed to choose the total probability of all negative events that he/she will exclude from consideration; in the other respects, he/she is cautious. The structure of the Principal’s optimal strategies is found. Two models differing by the Principal’s awareness of the partner’s actions are studied.

Keywords: theory of decision making, hierarchical systems, risk management, games with random factors, Value at Risk.

Presented by the member of Editorial Board: M. V. Goubko

Received: 13.09.2018
Revised: 31.01.2019
Accepted: 07.02.2019

DOI: 10.1134/S0005231019070043


 English version:
Automation and Remote Control, 2019, 80:7, 1265–1278

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