Abstract: Mining safety accidents occur frequently, and one of the main causes is the miners' Intentional Unsafe Behavior (IUB), and therefore implementing the reward and punishment strategy on it is the key coping strategy. In order to study how the reward and punishment strategy acts on the Intentional Unsafe Behavior (IUB) of the miners and how effective the strategy is, based on the Behavioral Economics + IUB Diffusion Theory, combined with the Multi-Agent model to analyze the influencing factors of the miners' IUB, and based on the work situation adaptability function and the unsafe behavior adaptability function, the simulation model is created. The study explores and summarizes the macroscopic emergence rule of IUB by the comparison and analysis in the Netlogo platform, and records the behavior selection of each attribute operator by using the work situation adaptability status value.

Key words: unsafe behavior, job situation adaptability, modeling simulation, reward and punishment strategy, Netlogo