Stochastic cooperative games application to the analysis of economic agent’s interaction
Contributions to game theory and management, Tome 8 (2015), pp. 137-148.

Voir la notice de l'article provenant de la source Math-Net.Ru

The article deals with the development of the theory of stochastic cooperative games and also possible future directions of practical applications of this class of games are considered. The principal feature of the proposed approach to stochastic cooperative games is that it is based on the definition of the imputation as a vector, which provides the conditions of individual and group rationality with a certain (given) $\alpha$ the probability. Unlike previous approaches, that consider imputation in stochastic cooperative game as "fixed" proportions, our view is to consider total utility of the coalition as a random variable, distributed among its participants. This approach introduces the concept of $\alpha$-core games and consideres a number of problems that can be formulated with respect to the properties of this object.
@article{CGTM_2015_8_a10,
     author = {Pavel V. Konyukhovskiy and Alexandra S. Malova},
     title = {Stochastic cooperative games application to the analysis of economic agent{\textquoteright}s interaction},
     journal = {Contributions to game theory and management},
     pages = {137--148},
     publisher = {mathdoc},
     volume = {8},
     year = {2015},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/CGTM_2015_8_a10/}
}
TY  - JOUR
AU  - Pavel V. Konyukhovskiy
AU  - Alexandra S. Malova
TI  - Stochastic cooperative games application to the analysis of economic agent’s interaction
JO  - Contributions to game theory and management
PY  - 2015
SP  - 137
EP  - 148
VL  - 8
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/CGTM_2015_8_a10/
LA  - en
ID  - CGTM_2015_8_a10
ER  - 
%0 Journal Article
%A Pavel V. Konyukhovskiy
%A Alexandra S. Malova
%T Stochastic cooperative games application to the analysis of economic agent’s interaction
%J Contributions to game theory and management
%D 2015
%P 137-148
%V 8
%I mathdoc
%U http://geodesic.mathdoc.fr/item/CGTM_2015_8_a10/
%G en
%F CGTM_2015_8_a10
Pavel V. Konyukhovskiy; Alexandra S. Malova. Stochastic cooperative games application to the analysis of economic agent’s interaction. Contributions to game theory and management, Tome 8 (2015), pp. 137-148. http://geodesic.mathdoc.fr/item/CGTM_2015_8_a10/

[1] Baranova E. M., Petrosjan L. A., “Cooperative Stochastic Games in Stationary Strategies”, Game theory and Applications, 11, Nova Science Publishers, 2000, 7–17

[2] Charnes A., Granot D., “Coalitional and Chance-Constrained Solutions to $n$-Person Games. II: Two-Stage Solutions”, Operation Research, 25:6 (1977), 1013–1019 | MR

[3] Charnes A., Granot D., “Prior solutions: extensions of convex nucleolus solutions to chance-constrained games”, Proceedings of the Computer Science and Statistics Seventh Symposium at Iowa University, 1973, 1013–1019 | MR

[4] Jorion Ph., Value at Risk, McGraw-Hill, 2006

[5] Konyukhovskiy P. V., “The application of stochastic cooperative games in studies of regularities in the realization of large-scale investment projects”, CGTM2011 (St. Petersburg), Contributions to Game Theory and Management, 2012, 137–146 | MR

[6] Liu J., David H. A., “Quantiles of Sums and Expected Values of Ordered Sums”, Austral J. Statist., 31:3 (1989), 469–474 | MR | Zbl

[7] Suijs J., Born P., “Stochastic Cooperative Games: Superadditivity, Convexity, and Certainty Equivalents”, Games and Economic Behavior, 27 (1999), 331–345 | MR | Zbl

[8] Suijs J. P. M., “A nucleolus for stochastic operative games”, Cooperative Decision-Making Under Risk, ed. J. P. M. Suijs, Kluwer Academic Publishers, Boston, 1999, 152–181

[9] Suijs J. P. M., Cooperative Decision-Making Under Risk, Kluwer Academic Publishers, Boston, 1999

[10] Suijs J. P. M., Borm P. E. M., De Waegenaere A. M. B., Tijs S. H., Cooperative Games With Stochastic Payoffs, Discussion paper, No 1995-88, Tilburg University, Center of Economic Research, 1995

[11] Suijs J. P. M., Borm P. E. M., De Waegenaere A. M. B., Tijs S. H., “Cooperative games with stochastic payoffs”, European Journal of Operational Research, 113:1 (1999), 193–205 | Zbl

[12] Suijs J. P. M., De Waegenaere A. M. B., Borm P. E. M., “Stochastic cooperative games in insurance and reinsurance”, Insurance Mathematics and Economics, 22:3 (1998), 209–228 | MR | Zbl

[13] Value at Risk 3 Edition: New Benchmark for Managing Financial Risk, McGraw-Hill Education-Europe, 2006

[14] Watson R., Gordon L., “On Quantiles of Sums”, Austral J. Statist., 28:2 (1986), 192–199 | MR | Zbl

[15] Yeung D. W. K., Petrosyan L. A., Cooperative Stochastic Differential Games, Springer, 2006 | MR | Zbl

[16] Yeung D. W. K., Petrosyan L. A., “Subgame consistent cooperative solutions in stochastic differential games”, J. Optimiz. Theory and Appl., 120:3 (2004), 651–666 | MR | Zbl

[17] Zenkevich N. A., Kolabutin N. V., “Quantitative Modeling of Dynamic Stable Joint Venture”, Preprint Vol. of the 11th IFAC Symposium «Computational Economics and Financial and Industrial Systems» (Dogus University of Istanbul, Turkey, 2007), IFAC, 68–74

[18] Zuofeng Gao, Wei Li, Ning Jiang, Lei Guo, “The Shapley Value for Stochastic Cooperative Game”, Modern Applied Science, 2:4 (2008)