mlsanityData to 14 Oct 2026

Representing states in iterated belief revision

arXiv 2305.09200 ↗First posted 16 May 2023cs.AIcited by 2

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Abstract (arXiv)

Iterated belief revision requires information about the current beliefs. This information is represented by mathematical structures called doxastic states. Most literature concentrates on how to revise a doxastic state and neglects that it may exponentially grow. This problem is studied for the most common ways of storing a doxastic state. All four methods are able to store every doxastic state, but some do it in less space than others. In particular, the explicit representation (an enumeration of the current beliefs) is the more wasteful on space. The level representation (a sequence of propositional formulae) and the natural representation (a history of natural revisions) are more compact than it. The lexicographic representation (a history of lexicographic revision) is even more compact than them.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 59 references that are in the map. First posted on arXiv 16 May 2023.

Builds on

6 of 59 references.

References · 6

  1. 2018On Strengthening the Logic of Iterated Belief Revision: Proper Ordinal Interval Operatorscited by 4
  2. 2019Iterated Belief Base Revision: A Dynamic Epistemic Logic Approachcited by 3
  3. 2018Iterated Belief Revision Under Resource Constraints: Logic as Geometrycited by 2
  4. 2022A Conditional Perspective on the Logic of Iterated Belief Contractioncited by 2
  5. 2022Iterated Belief Change, Computationallycited by 2
  6. 2021Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterizationcited by 1

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