# Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach

## TL;DR

This paper explores how iterated belief revision can be represented using dynamic epistemic logic and priority graphs, providing syntactic characterizations and highlighting limitations of current models.

## Contribution

It introduces a dynamic epistemic logic framework for iterated belief revision using priority graphs and reveals limitations in representing certain belief change operations.

## Key findings

- Syntactic representations of belief change operators in a dynamic context.
- Negative results on representing iterated belief revision with priority graph transformations.

## Abstract

AGM's belief revision is one of the main paradigms in the study of belief change operations. In this context, belief bases (prioritised bases) have been largely used to specify the agent's belief state - whether representing the agent's `explicit beliefs' or as a computational model for her belief state. While the connection of iterated AGM-like operations and their encoding in dynamic epistemic logics have been studied before, few works considered how well-known postulates from iterated belief revision theory can be characterised by means of belief bases and their counterpart in a dynamic epistemic logic. This work investigates how priority graphs, a syntactic representation of preference relations deeply connected to prioritised bases, can be used to characterise belief change operators, focusing on well-known postulates of Iterated Belief Change. We provide syntactic representations of belief change operators in a dynamic context, as well as new negative results regarding the possibility of representing an iterated belief revision operation using transformations on priority graphs.