Abstract
Because of the complexity of risk behaviors in stressful environment, the diagnosis and prevention of human risk behaviors is often elusive and difficult. Combined with virtual reality and Multi-agent technology, a Multi-agent virtual environment for risk behaviors simulation was proposed to assist risk analysis and prevention in underground coalmine. Emphasis was put on simulating individual miner behaviors during coalmine risk accidents. Incorporated miners' cognitive processes and internal state characteristics, the behaviors of virtual miner are constructed by a set of parameterized basic actions and are controlled by personalized action selection mechanism. Through hierarchical pathfinding model, virtual miner can autonomously explore virtual mine to simulate human risk behaviors during risk accidents in underground mine. The simulating results of risk accidents show the effectiveness of proposed approaches to explore human risk behaviors in underground coalmine virtual environment.
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