Equilibrium analysis of distributed aggregative game with misinformation
Meng Yuan, Zhaoyang Cheng, Te Ma · Kybernetika · 2025
This paper considers a distributed aggregative game problem for a group of players with misinformation, where each player has a different perception of the game.Player's deception behavior is inevitable in this situation for reducing its own cost.We utilize hypergame to model the above problems and adopt ϵ-Nash equilibrium for hypergame to investigate whether players believe in their own cognition.Additionally, we propose a distributed deceptive algorithm for a player implementing deception and demonstrate the algorithm converges to ϵ-Nash equilibrium for hypergame.Further, we provide conditions for the deceptive player to enhance its profit and offer the optimal deceptive strategy at a given tolerance ϵ.Finally, we present the effectiveness of the algorithm through numerical experiments.