Modeling uncertainty in first-order logic: A dempster-shafer theoretic approach

Rafael C. Núñez, Matthias Scheutz, Kamal Premaratne, Manohar N. Murthi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

First order logic lies at the core of many methods in mathematics, philosophy, linguistics, and computer science. Although important efforts have been made to extend first order logic to the task of handling uncertainty, there is still a lack of a consistent and unified approach, especially within the Dempster-Shafer (DS) theory framework. In this work we introduce a systematic approach for building belief assignments based on first order logic formulas. Furthermore, we outline the foundations of Uncertain Logic, a robust framework for inference and modeling when information is available in the form of first order logic formulas subject to uncertainty. Applications include data fusion, rule mining, credibility estimation, and crowd sourcing, among many others.

Original languageEnglish (US)
Title of host publicationISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability
Subtitle of host publicationTheories and Applications
EditorsFabio Cozman, Thierry Denoeux, Sebastien Destercke, Teddy Seidenfeld
PublisherSociety for Imprecise Probability: Theories and Applications, SIPTA
Pages265-274
Number of pages10
ISBN (Electronic)9782913923355
StatePublished - Jan 1 2013
Event8th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2013 - Compiegne, France
Duration: Jul 2 2013Jul 5 2013

Publication series

NameISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications

Conference

Conference8th International Symposium on Imprecise Probability: Theories and Applications, ISIPTA 2013
CountryFrance
CityCompiegne
Period7/2/137/5/13

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Keywords

  • Belief theory
  • Dempster-shafer theory
  • Probabilistic logic
  • Uncertain logic
  • Uncertain reasoning

ASJC Scopus subject areas

  • Statistics and Probability

Cite this

Núñez, R. C., Scheutz, M., Premaratne, K., & Murthi, M. N. (2013). Modeling uncertainty in first-order logic: A dempster-shafer theoretic approach. In F. Cozman, T. Denoeux, S. Destercke, & T. Seidenfeld (Eds.), ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications (pp. 265-274). (ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications). Society for Imprecise Probability: Theories and Applications, SIPTA.