Modeling agents strategies in players with local interaction

  • V. Asieiev Petro Mohyla Black Sea National University
  • I. Kulakovska Petro Mohyla Black Sea National University
Keywords: multiagent system, stochastic game, adaptive gaming method, Q-method.


In this paper, the current topic of optimal strategies in games with local interaction is considered, the incentive training of multiagent systems in game formulation is considered. The purpose of this work is to consider the method of constructing a system with local interaction of agents based on the task of "synchronization" using the Markov model of the stochastic game. The research method is a computer program for modeling a task using the Q-method of training.


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Asieiev , V., & Kulakovska, I. (2020). Modeling agents strategies in players with local interaction. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (35), 10-15. Retrieved from