• https://doi.org/10.1007/s11225-025-10178-wCopy DOI Icon

Probability-Based Contraction

Show More
  • Abstract
  • Highlights & Summary
  • PDF
  • Literature Map
  • References
  • Similar Papers
Abstract

Abstract Models employing hyperreal probabilities can be used to represent epistemic agents that have both credences (represented by propositions whose probability has a non-unit standard part) and full beliefs (represented by propositions with a probability at most infinitesimally smaller than 1). This article introduces operations of belief contraction in such models. Contraction is a process in which a proposition that was initially fully believed becomes a credence. We investigate two operations for such probability-based belief contraction. The first operation, which employs Jeffrey revision, gives rise to an operation that is close to the AGM operation of full meet contraction. The second, somewhat more complex, operation is of a more general type, and has AGM partial meet contraction as a special case. In both models, standard relations of epistemic entrenchment can be constructed from the probability function, which reveals a possibly somewhat surprising connection between probability and epistemic entrenchment.

Loading PDF

Similar Papers
  • Research Article
  • Citations155

Belief contraction without recovery

  • Jun 01, 1991
  • Studia Logica
  • Sven Ove Hansson
  • Conference Article

Parallel Belief Contraction via Order Aggregation

  • Sep 01, 2025
  • Jake Chandler +1
  • PDF
  • Research Article

Impossibility results for belief contraction

  • Jun 14, 2019
  • Annals of Mathematics and Artificial Intelligence
  • Sven Ove Hansson
  • PDF
  • Research Article
  • Citations3

Elementary Belief Revision Operators

  • Dec 01, 2022
  • Journal of Philosophical Logic
  • Jake Chandler +1
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.