Logic programming, abduction and probability. A top-down anytime algorithm for estimating prior and posterior probabilities
type: Item
instance of: scholarly article
title: Logic programming, abduction and probability. A top-down anytime algorithm for estimating prior and posterior probabilities
zbMATH Open document ID: 0788.68025
DOI: 10.1007/BF03037184
author: M. C. Fu
published in: New Generation Computing
publication date: 1993-11-28T00:00:00Z
review text: A logic programming approach to abduction taking probabilities into account is presented. The language used is a superset of Prolog. Logic programming is applied here for finding posterior probabilities in Bayesian networks. This methodology is different from that used in Bayesian networks so far.
Mathematics Subject Classification ID: 68N17
zbMATH DE Number: 438559
zbMATH Keywords: logic programming
zbMATH Keywords: abduction
zbMATH Keywords: Prolog
reviewed by: Jerzy W. Grzymala-Busse
MaRDI profile type: Publication
cites work: Q3983042
cites work: On the Relationship Between Abduction and Deduction
cites work: Q5750448
cites work: Q4012182
cites work: Linear resolution for consequence finding
cites work: Depth-first iterative-deepening: An optimal admissible tree search
cites work: Q3992908
cites work: Negation and control in PROLOG
cites work: Q3997653
cites work: Q3992706
cites work: The occur-check problem in Prolog
cites work: A logical framework for default reasoning
cites work: Compiling a default reasoning system into Prolog
cites work: Q4013838
cites work: Probabilistic Horn abduction and Bayesian networks
cites work: Q3198891
cites work: Q3742689
cites work: A Prolog-like inference system for computing minimum-cost abductive explanations in natural-language interpretation
full work available at URL: https://doi.org/10.1007/bf03037184
OpenAlex ID: W2012979684
description: scientific article; zbMATH DE number 438559