A System for Updating Trust and Performing Belief Revision

Aaron Hunter, Sam Tadey

2023

Abstract

The process of belief revision is impacted by trust. In particular, when new information is received, it is only believed if the source is trusted as an authority on the given information. Moreover, trust is actually developed over time based on the accuracy of past reports. Any practical tool for representing and reasoning about the beliefs of communicating agents will therefore require some mechanism for modeling trust, both in terms of how it changes over time and in terms of how it impacts belief revision. In this paper, we present such a tool. We use so-called trust graphs to give a compact representation of how strongly one agent trusts another to distinguish between possible states of the world. Our software allows a trust graph to be updated incrementally by looking at the accuracy of past reports. After constructing a trust graph, the software can then compute the result of AGM-style belief revision using two different approaches to incorporating trust. In the first approach, trust is treated as a binary notion where an agent is either trusted to distinguish certain states or they are not. In the second approach, the relative strength of trust is compared directly with the strength of the initial beliefs. The end result is a tool that can flexibly model and reason about the dynamics of trust and belief.

Paper Citation

in Harvard Style

Hunter A. and Tadey S. (2023). A System for Updating Trust and Performing Belief Revision. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 55-62. DOI: 10.5220/0011614800003393

in Bibtex Style

@conference{icaart23,
author={Aaron Hunter and Sam Tadey},
title={A System for Updating Trust and Performing Belief Revision},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={55-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011614800003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - A System for Updating Trust and Performing Belief Revision
SN - 978-989-758-623-1
AU - Hunter A.
AU - Tadey S.
PY - 2023
SP - 55
EP - 62
DO - 10.5220/0011614800003393