# Source-Sensitive Belief Change

## TL;DR

This paper proposes a unified AGM-based framework that incorporates source sensitivity to address criticisms like paraconsistency, multi-agent, and non-prioritized belief revision, analyzing its properties and postulate satisfiability.

## Contribution

It introduces a novel AGM-based framework that integrates source sensitivity, covering multiple belief revision extensions in a single model.

## Key findings

- Framework accommodates paraconsistent, multi-agent, and non-prioritized revisions.
- Analyzes satisfiability of AGM postulates within the new framework.
- Provides features and theoretical insights into the extended belief revision model.

## Abstract

The AGM model is the most remarkable framework for modeling belief revision. However, it is not perfect in all aspects. Paraconsistent belief revision, multi-agent belief revision and non-prioritized belief revision are three different extensions to AGM to address three important criticisms applied to it. In this article, we propose a framework based on AGM that takes a position in each of these categories. Also, we discuss some features of our framework and study the satisfiability of AGM postulates in this new context.