Triangles of conflicts and hexamatrix games

The paper addresses one class of finite non-cooperative games (with finite numbers of strategies for each player) – Polymatrix Games of E.B. Yanovskaya. Namely, we study in detail the 3-players Polymatrix Games, the so-called Hexamatrix Games (HMG), which can be completely described by six matrices. A number of model examples of 3-sides real-life conflicts are presented and formulated as HMG. The possibility of using hexamatrix games to model economic relationships between three participants is demonstrated. To find a Nash Equilibrium in the formulated games, we use an optimization approach, when the problem is transformed into a nonconvex optimization problem with a bilinear structure. The latter is solved by the A.S. Strekalovsky’s Global Search Theory (GST) for (d.c.) optimization problems with objective functions represented as the difference of two convex functions.

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Publication Details

Journal
Mathematical Game Theory and Applications
Published
2024-12-06
DOI
https://doi.org/10.17076/mgta_2024_4_83
Primary Topic
Game Theory and Applications
Type
article
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article

Triangles of conflicts and hexamatrix games

A. V. Orlov
Mathematical Game Theory and Applications
Game Theory and Applications
article

Triangles of conflicts and hexamatrix games

A. V. Orlov
article en

Abstract

The paper addresses one class of finite non-cooperative games (with finite numbers of strategies for each player) – Polymatrix Games of E.B. Yanovskaya. Namely, we study in detail the 3-players Polymatrix Games, the so-called Hexamatrix Games (HMG), which can be completely described by six matrices. A number of model examples of 3-sides real-life conflicts are presented and formulated as HMG. The possibility of using hexamatrix games to model economic relationships between three participants is demonstrated. To find a Nash Equilibrium in the formulated games, we use an optimization approach, when the problem is transformed into a nonconvex optimization problem with a bilinear structure. The latter is solved by the A.S. Strekalovsky’s Global Search Theory (GST) for (d.c.) optimization problems with objective functions represented as the difference of two convex functions.

Mathematical Game Theory and ApplicationsVol. 16(4)
Institute for System Dynamics and Control Theory (RU)
Openalex Percentile: Top 72%
Game Theory and Applications
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