Probabilistic reasoning in an augmented fact-proposition space and its applications

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A simple and versatile probabilistic reasoning scheme is presented. Based on an augmentation of a multi-dimensional inference space indexed by a Cartesian product of the fact and proposition sets, the scheme simplifies the processes involved in the representation and computation of a probabilistic reasoning system. In the augmented space, a set of auxiliary fields is utilized in addition to the fact-proposition relations to manipulate the uncertainty and incompleteness of the information presented. The scheme enhances the functionality of a probabilistic reasoning and facilitates the building of practical reasoning systems. The utilization of the augmented space in reasoning is illustrated by two problems in computer-vision applications.

Original languageEnglish (US)
Pages (from-to)627-637
Number of pages11
JournalEngineering Applications of Artificial Intelligence
Volume7
Issue number6
DOIs
StatePublished - Dec 1994

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Computer vision
Uncertainty

Keywords

  • Probabilistic reasoning
  • artifical intelligence
  • computer vision
  • fast-proposition space

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Probabilistic reasoning in an augmented fact-proposition space and its applications. / Zhu, Qiuming.

In: Engineering Applications of Artificial Intelligence, Vol. 7, No. 6, 12.1994, p. 627-637.

Research output: Contribution to journalArticle

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