Qualitative reasoning in Bayesian networks.

Paolo Garbolino

Mathware and Soft Computing (1996)

  • Volume: 3, Issue: 1-2, page 125-135
  • ISSN: 1134-5632

Abstract

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Some probabilistic inference rules which can be compared with the inference rules of preferential logic are given and it will be shown how they work in graphical models, allowing qualitative plausible reasoning in Bayesian networks.

How to cite

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Garbolino, Paolo. "Qualitative reasoning in Bayesian networks.." Mathware and Soft Computing 3.1-2 (1996): 125-135. <http://eudml.org/doc/39066>.

@article{Garbolino1996,
abstract = {Some probabilistic inference rules which can be compared with the inference rules of preferential logic are given and it will be shown how they work in graphical models, allowing qualitative plausible reasoning in Bayesian networks.},
author = {Garbolino, Paolo},
journal = {Mathware and Soft Computing},
keywords = {Inferencia estadística; Probabilidad modal; Proceso de predicción; Inferencia bayesiana; typicality; preferential logic; inductive logic; qualitative inference rules; belief revision; expansion; contraction; Bayesian networks; computational efficiency},
language = {eng},
number = {1-2},
pages = {125-135},
title = {Qualitative reasoning in Bayesian networks.},
url = {http://eudml.org/doc/39066},
volume = {3},
year = {1996},
}

TY - JOUR
AU - Garbolino, Paolo
TI - Qualitative reasoning in Bayesian networks.
JO - Mathware and Soft Computing
PY - 1996
VL - 3
IS - 1-2
SP - 125
EP - 135
AB - Some probabilistic inference rules which can be compared with the inference rules of preferential logic are given and it will be shown how they work in graphical models, allowing qualitative plausible reasoning in Bayesian networks.
LA - eng
KW - Inferencia estadística; Probabilidad modal; Proceso de predicción; Inferencia bayesiana; typicality; preferential logic; inductive logic; qualitative inference rules; belief revision; expansion; contraction; Bayesian networks; computational efficiency
UR - http://eudml.org/doc/39066
ER -

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