CONNECTIONISM STRATEGY FOR INDUSTRIAL ACCIDENT-ORIENTED EMERGENCY DECISION-MAKING: A SIMULATION STUDY BASED ON PCS MODEL.

Connectionism strategy is widely used by the policymaker to implement the emergency rescue activities in industrial accidents, exploring its mechanism is helpful to deeply understand the mechanism of behavioural change of policymakers during emergency decision-making procedure. In this study, the emergency process and influential factors as well as three types of emergency disposal schemes, when the connectionism strategy was adopted for rescue activities in coal mining accidents, were qualitatively analysed and concluded. Then, an improved simulation model was proposed based on Parallel Constraint Satisfaction (PCS) model. Lastly an algorithm written in MATLAB was employed to model and explore the influential mechanism of the negative emotion and the concern of policymakers as well as the mode of decision-making tasks on decision time and decision confidence. Results demonstrate that, the higher the policymakers' negative emotion, the shorter the decision time and the higher level of decision confidence they have. Under different modes of decision tasks, the more difficult it is to identify the superiority and inferiority of different disposal schemes, the more decision time the policymakers need and the lower level of decision confidence they have, the decision confidence is more sensitive to the mode of decision-making task, meanwhile the negative emotion and the concern of policymakers have different effects on decision time and decision confidence. Compared with the concern on cues, policymakers' decision confidence is much higher when they focus more on schemes. The study reveals the mechanism of connectionism strategy adopted for emergency rescue activities in industrial accidents, which has a profound significance for optimizing emergency decision support systems for industrial accident management and enhancing the quality of emergency decision-making. [ABSTRACT FROM AUTHOR]