Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory

Abstract

Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, which solves the problem of the imperfect mine information acquisition in the construction of a new smart mine regions and decreases the difficulty of a mine information acquisition. Based on the evolutionary game model, the perceptual incentive model based on group is established. The reliability of information collection is ensured by sharing and modifying the information collector. Through the analysis of the simulation results, it is found that the regional coverage model based on the cooperation in game theory and evolutionary game theory has a good effect on solving the bottleneck problem of the current intelligent mining area. This paper has an enlightening effect on the optimization of the mine information acquisition system. Through the improvement of the mine information acquisition system, the working efficiency of the information acquisition terminal can be effectively increased by 6%.

Evolution dynamic of intelligent construction strategy of coal mine enterprises in China

“…(2004) deduced the probability of population change in the time interval before and after Moran process. In addition, existing researchers have widely applied the stochastic evolutionary game model based on Moran process to the fields of management to solve practical problems, mainly including green technology innovation ( Zhang and Li, 2020 ), emergency counter-terrorism ( Wu et al., 2020 ; Harris, 1990 ) and emotional evolution ( Dai et al., 2021 ; Dong et al., 2021 ). But there is little involved in the analysis of intelligent construction of coal mining enterprises under the random disturbance of uncertain factors.…”