Risk Management in Hierarchical Games with Random Factors
- Authors: Gorelov M.A.1
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Affiliations:
- Federal Research Center for Computer Science and Control
- Issue: Vol 80, No 7 (2019)
- Pages: 1265-1278
- Section: Intellectual Control Systems, Data Analysis
- URL: https://journals.rcsi.science/0005-1179/article/view/151435
- DOI: https://doi.org/10.1134/S000511791907004X
- ID: 151435
Cite item
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.
About the authors
M. A. Gorelov
Federal Research Center for Computer Science and Control
Author for correspondence.
Email: griefer@ccas.ru
Russian Federation, Moscow
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