**Stoss — A stochastic simulation system for Bayesian belief networks.** / Luo, Zhiyuan; Gammerman, Alex.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Published

**Stoss — A stochastic simulation system for Bayesian belief networks.** / Luo, Zhiyuan; Gammerman, Alex.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Luo, Z & Gammerman, A 1991, Stoss — A stochastic simulation system for Bayesian belief networks. in B Bouchon-Meunier, RR Yager & LA Zadeh (eds), *Uncertainty in Knowledge Bases: Lecture Notes in Computer Science.* vol. 521, Springer, pp. 97-105. <http://link.springer.com/chapter/10.1007%2FBFb0028093>

Luo, Z., & Gammerman, A. (1991). Stoss — A stochastic simulation system for Bayesian belief networks. In B. Bouchon-Meunier, R. R. Yager, & L. A. Zadeh (Eds.), *Uncertainty in Knowledge Bases: Lecture Notes in Computer Science *(Vol. 521, pp. 97-105). Springer. http://link.springer.com/chapter/10.1007%2FBFb0028093

Luo Z, Gammerman A. Stoss — A stochastic simulation system for Bayesian belief networks. In Bouchon-Meunier B, Yager RR, Zadeh LA, editors, Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. Vol. 521. Springer. 1991. p. 97-105

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title = "Stoss — A stochastic simulation system for Bayesian belief networks",

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).",

author = "Zhiyuan Luo and Alex Gammerman",

year = "1991",

language = "English",

isbn = "978-3-540-54346-6",

volume = "521",

pages = "97--105",

editor = "Bouchon-Meunier, {Bernadette } and Yager, {Ronald R. } and Zadeh, { Lotfi A. }",

booktitle = "Uncertainty in Knowledge Bases",

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AB - 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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SP - 97

EP - 105

BT - Uncertainty in Knowledge Bases

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