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April 18, 2026Doklady Mathematics0 citations

Conflict Triangles and Hexamatrix Games

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AOA. V. Orlov

Key Points

  • This research aims to explore the application of hexamatrix games for modeling conflicts between three players and finding their Nash equilibria.
  • Focused on three-player polymatrix games, termed hexamatrix games.
  • Provided model examples of three-party conflicts based on real-life scenarios.
  • Employed a nonconvex optimization approach to determine the Nash equilibrium.
  • Applied Global Search Theory for solving optimization problems with bilinear structures.
  • Successfully formulated various three-party conflict scenarios as hexamatrix games.
  • Demonstrated the feasibility of hexamatrix games in modeling economic relationships.
  • Utilized optimization techniques to find Nash equilibria in the presented models.

Abstract

The paper considers one class of finite non-cooperative games (with a finite number of strategies for each player)—E.B. Yanovskaya’s polymatrix games. More specifically, three-player polymatrix games, so-called hexamatrix games (HMGs), which can be completely described by six matrices, are studied. A number of model examples of three-party conflicts, describing some real-life situations, are presented and formulated as HMGs. The feasibility of using hexamatrix games to model economic relationships between three participants is demonstrated. To find the Nash equilibrium in the formulated games, an optimization approach is used, where the equilibrium problem is reduced to a nonconvex optimization problem with a bilinear structure. The latter is solved using A.S. Strekalovskii’s Global Search Theory (GST) for (d.c.) optimization problems with objective functions representable as the difference of two convex functions.

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Cite This Study

A. V. Orlov (2025) studied this question.

synapsesocial.com/papers/69e3213840886becb654066dhttps://doi.org/10.1134/s1064562425601088
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