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

Uncertainty in Knowledge Bases: Lecture Notes in Computer Science. ed. / Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi A. Zadeh. Vol. 521 Springer, 1991. p. 97-105.

Research output: Chapter in Book/Report/Conference proceedingChapter

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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).
Original languageEnglish
Title of host publicationUncertainty in Knowledge Bases
Subtitle of host publicationLecture Notes in Computer Science
EditorsBernadette Bouchon-Meunier, Ronald R. Yager, Lotfi A. Zadeh
PublisherSpringer
Pages97-105
Volume521
ISBN (Electronic)978-3-540-47580-4
ISBN (Print)978-3-540-54346-6
Publication statusPublished - 1991
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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