<p>This paper investigates the Pareto-Nash equilibria for multicriteria normal games and multicriteria networked evolutionary games (MCNEGs) using the semi-tensor product of matrices. Firstly, an easy-to-verify matrix criterion is provided to calculate the Pareto-Nash equilibria of multicriteria normal games. Secondly, an algorithm is established to convert the dynamics of an MCNEG into an algebraic form. Thirdly, based on the algebraic form, a necessary and sufficient condition is presented to verify whether a profile is a Pareto-Nash equilibrium, and the asymptotic stability of an MCNEG to the Pareto-Nash equilibrium set is studied. Finally, an illustrative example is given to demonstrate the correctness of the new results.</p>

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Calculation and Convergence of Pareto-Nash Equilibria for Multicriteria Games

  • Shihua Fu,
  • Jun-e Feng,
  • Ling Yu,
  • Xueying Nie,
  • Ya-nan Pan,
  • Xiaoyu Zhao

摘要

This paper investigates the Pareto-Nash equilibria for multicriteria normal games and multicriteria networked evolutionary games (MCNEGs) using the semi-tensor product of matrices. Firstly, an easy-to-verify matrix criterion is provided to calculate the Pareto-Nash equilibria of multicriteria normal games. Secondly, an algorithm is established to convert the dynamics of an MCNEG into an algebraic form. Thirdly, based on the algebraic form, a necessary and sufficient condition is presented to verify whether a profile is a Pareto-Nash equilibrium, and the asymptotic stability of an MCNEG to the Pareto-Nash equilibrium set is studied. Finally, an illustrative example is given to demonstrate the correctness of the new results.