Modelling and Simulating of Risk Behaviours in Virtual Environments Based on Multi-Agent and Fuzzy Logic

Abstract

Due to safety and ethical issues, traditional experimental approaches to modelling underground risk behaviours can be costly, dangerous and even impossible to realize. Based on multi-agent technology, a virtual coalmine platform for risk behaviour simulation is presented to model and simulate the human-machine-environment related risk factors in underground coalmines. To reveal mine workers' risk behaviours, a fuzzy emotional behaviour model is proposed to simulate underground miners' responding behaviours to potential hazardous events based on cognitive appraisal theories and fuzzy logic techniques. The proposed emotion model can generate more believable behaviours for virtual miners according to personalized emotion states, internal motivation needs and behaviour selection thresholds. Finally, typical accident cases of underground hazard spotting and locomotive transport were implemented. The behaviour believability of virtual miners was evaluated with a user assessment method. Experimental results show that the proposed models can create more realistic and reasonable behaviours in virtual coalmine environments, which can improve miners' risk awareness and further train miners' emergent decision-making ability when facing unexpected underground situations.

Research on the evolutionary control of unsafe behavior of construction personnel based on multi-field coupled-homogeneous analysis model

“…Prior research has employed multi-agent technology to investigate engineering risks, including the identification of the main risk factors of shield tunnelling projects using a safety computational experiment system and the simulation of various risk control strategies for construction projects using a risk evolution model based on multi-agent modelling and stochastic methods [ 31 , 32 ]. Multi-agent-based collaborative emergency decision-making algorithms have also been proposed for emergency response to traffic accidents, and simulation modeling of human-machine-environment-related risk factors in coal mines has been conducted using multi-agent technology [ 33 , 34 ].…”

A Comprehensive Model of the Relationship between Miners’ Work Commitment, Cultural Emotion and Unemployment Risk Perception

“…Miners' emotions represent a form of internal motivation which can encourage them to follow safety guidelines, thereby influencing the process of receiving, processing, and reacting to information from underground operations [17]. Throughout this process, if the miner's emotions are positive, they become a directed force that drives employees to pay positive attention to safety issues; if the emotions are negative, they result in a series of unsafe behaviors that are highly likely to lead to accidents [18]. Dissecting the path of culture and emotions in work commitment can help leaders to understand the current state of employees' culture and emotions and identify and improve the current state of the company's culture.…”

Simulation Research on the Effectiveness of a Multiagent Mine Safety Supervision System and Its Verification

“…Cai et al based on multiagent technology, a virtual coal mine platform for risk behavior simulation, presented to model and simulate the human-machine environment related risk factors in underground coalmines. Experimental results show that the proposed models can create more realistic and reasonable behaviors in virtual coal mine environments, which can improve miners' risk awareness and further train miners' emergent decision-making ability when facing unexpected underground situations [20]. However, few scholars have studied the job burnout phenomenon that afflicts mine supervisors.…”