A virtual experimental technique for data collection for a Bayesian network approach to human reliability analysis
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Brian Veitch | Scott MacKinnon | Syed Imtiaz | Faisal I. Khan | Mashrura Musharraf | David Bradbury-Squires | S. Imtiaz | F. Khan | B. Veitch | S. MacKinnon | D. Bradbury-Squires | Mashrura Musharraf
[1] 大西 仁,et al. Pearl, J. (1988, second printing 1991). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan-Kaufmann. , 1994 .
[2] Giuliano Geminiani,et al. Active and passive spatial learning in a complex virtual environment: The effect of effcient exploration , 2002 .
[3] Ali Mosleh,et al. Deriving causal Bayesian networks from human reliability analysis data: A methodology and example model , 2012 .
[4] Min Xie,et al. Investigations of Human and Organizational Factors in hazardous vapor accidents. , 2011, Journal of hazardous materials.
[5] David James Bradbury-Squires. Simulation training in a virtual environment of an offshore oil installation , 2013 .
[6] Carol Smidts,et al. Human reliability modeling for the Next Generation System Code , 2013 .
[7] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[8] Maria Chiara Leva,et al. A compound methodology to assess the impact of human and organizational factors impact on the risk level of hazardous industrial plants , 2013, Reliab. Eng. Syst. Saf..
[9] Brian Veitch,et al. Human reliability assessment during offshore emergency conditions , 2013 .
[10] Asghar Ali,et al. SIMULATOR INSTRUCTOR - STCW REQUIREMENTS AND REALITY , 2006 .
[11] Michael J. Singer,et al. Measuring Presence in Virtual Environments: A Presence Questionnaire , 1998, Presence.
[12] Luca Podofillini,et al. A Bayesian approach to treat expert-elicited probabilities in human reliability analysis model construction , 2013, Reliab. Eng. Syst. Saf..
[13] Brian Veitch,et al. Emergency Response Training Using Simulators , 2008 .
[14] Marek J. Druzdzel,et al. Learning Bayesian network parameters from small data sets: application of Noisy-OR gates , 2001, Int. J. Approx. Reason..