---
title: "Iterated Belief Change: A Transition System Approach"
authors:
  - "Aaron Hunter"
  - "James P. Delgrande"
doi: ""
url: "https://ijcai.org/proceedings/2005/49"
pdf: "https://ijcai.org/proceedings/2005/0049.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "460-464"
track: ""
keywords:
---

# Iterated Belief Change: A Transition System Approach

Aaron Hunter, James P. Delgrande

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 460-464.

## Abstract

We use a transition system approach to reason about the evolution of an agent’s beliefs as actions are executed. Some actions cause an agent to perform belief revision and some actions cause an agent to perform belief update, but the interaction between revision and update can be nonelementary. We present a set of basic postulates describing the interaction of revision and update, and we introduce a new belief evolution operator that gives a plausible interpretation to alternating sequences of revisions and updates.