6[1]Heckerman D. Bayesian networks for data mining [J]. Data Mining and Knowledge Discovery, 1997， 1: 79～119.
7[2]Heckerman D, Geiger D, Chickering D. Learning Bayesian Networks: the combination of knowledge and statistical data [J]. Machine Learning, 1995, 20: 196～243.
8[3]Geiger D, Heckerman D. A characterization of the Dirichlet distribution with applicable to learning Bayesian networks [A]. In Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence [C]. Montreal, QU, 1995. 196～207.
9[4]Cooper G, Herskovits E. A Bayesian method for the induction of probabilistic networks from data [J]. Machine Learning, 1992, 9: 309～347.
10[5]Dagum P, Luby M. Approximating probabilistic inference in Bayesian belief networks is NP-hard [J]. Artificial Intelligence, 1993, 60: 141～153.
4TRIST E L, BAMFORTH K W. Some Social and Psychological Consequences of the Long wall Method of Coal-Getting[J]. Human Relations, 1951, 4: 3-39.
5HOLLNAGEL E. Barriers and Accident Prevention[M] Hampshire: Ashgate, 2004.
6LEVESON N. A New Accident Model for Engineering Safer Systems[J]. Safety Science, 2004, 42(4): 237-270.
7WOODS D D, JOHANNESEN L J, COOK R I, SARTER N B. Behind Human Error: Cognitive Systems, Computers and Hindsight[C]. SOAR Report 94\-01, Wright-Patterson Air Force Base, Ohio, CSERIAC, 1994.
8HOLLNAGEL E, WOODS D D. Joint Cognitive Systems: Foundations of Cognitive Systems Engineering[M]. New York: Taylor & Francis, 2005.
9RASMUSSEN J. Risk Management in a Dynamic Society: A Modeling Problem Safety [J]. Science, 1997, 27(2/3) 183-213.
10VICENTE K J, MUMAW R J, ROTH E M. Operator monitoring in a complex dynamic work environment: A qualitative cognitive model based on field observations [J]. Theoretical Issues in Ergonomics Science, 2004, 5(5): 359-384.
