Abstract
This paper describes a computational system, called STOSS (STOchastic Simulation System), using the stochastic simulation method to perform probabilistic reasoning for Bayesian belief networks. The system is then applied to an artificial example in the field of forensic science and the results are compared with the calculations obtained using the Causal Probabilistic Reasoning System (CPRS).
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© 1991 Springer-Verlag Berlin Heidelberg
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Luo, Z., Gammerman, A. (1991). Stoss — A stochastic simulation system for Bayesian belief networks. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028093
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DOI: https://doi.org/10.1007/BFb0028093
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