Journal of Mathematics (Jan 2023)

Research on Game Industry Cooperation Based on Evolutionary Game Model

  • Zhen-Yu Wu,
  • Li-Juan Hu

DOI
https://doi.org/10.1155/2023/9967797
Journal volume & issue
Vol. 2023

Abstract

Read online

With the arrival of the information age, the growth space of the game industry is expanding, and the interest relationship between game businesses is becoming more sensitive. To alleviate the increasingly fierce competitive pressure, some game businesses will seek cooperation to pursue more profits, but some businesses are unwilling to cooperate. In this paper, we study the interest relationship between competition and cooperation among game businesses by constructing a tripartite evolutionary game model. We first obtain the expected revenue by using the weighted average method and then obtain the replicator dynamic equation. The stability and the sensitivity of the equilibrium strategy combination of the evolutionary game system are discussed. Finally, simulation analysis of the evolutionary model is realized and some suggestions based on the deductive results are put forward. Simulation results show that the system achieves stability at the equilibrium point (0, 1, 1) or (1, 1, 1). The equilibrium point (0, 1, 1) indicates that online game businesses select competition, while web and stand-alone game businesses seek cooperation. The equilibrium point (1, 1, 1) indicates that the tripartite actively seeks cooperation.