Abstract
A dynamic mechanistic model of human response for human reliability analysis is proposed in this paper. The model is comprised of three main components: information perception, knowledge base, and human reasoning and decision making. The activation based approach, which considers both stimulus-driven and goal-directed activations, is adopted model the impact of information perception on the reasoning process. An operator’s knowledge base is represented by a semantic network in the model. Activation propagation theory is applied to model human reasoning and decision making. Illustration of activation propagation through the relief-valve-stuck-open incident in the Three Mile Island accident demonstrates the feasibility of this approach. Additionally, the influences of two significant performance shaping factors, stress and fatigue, are integrated into the model.
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This research is funded by U.S. Nuclear Regulatory Commission under Grant NRC-HQ-60-15-G-0002.
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Zhao, Y., Smidts, C. (2018). A Dynamic Mechanistic Model of Human Response Proposed for Human Reliability Analysis. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_26
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DOI: https://doi.org/10.1007/978-3-319-60645-3_26
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