Trust and distrust in contradictory information transmission

Primiero, Giuseppe, Raimondi, Franco ORCID logoORCID: https://orcid.org/0000-0002-9508-7713, Bottone, Michele ORCID logoORCID: https://orcid.org/0009-0008-2515-4184 and Tagliabue, Jacopo (2017) Trust and distrust in contradictory information transmission. Applied Network Science, 2 (1) . ISSN 2364-8228 [Article] (doi:10.1007/s41109-017-0029-0)

[img]
Preview
PDF - Published version (with publisher's formatting)
Available under License Creative Commons Attribution 4.0.

Download (2MB) | Preview

Abstract

We analyse the problem of contradictory information distribution in networks of agents with positive and negative trust. The networks of interest are built by ranked agents with different epistemic attitudes. In this context, positive trust is a property of the communication between agents required when message passing is executed bottom-up in the hierarchy, or as a result of a sceptic agent checking information. These two situations are associated with a confirmation procedure that has an epistemic cost. Negative trust results from refusing verification, either of contradictory information or because of a lazy attitude. We offer first a natural deduction system called SecureNDsim to model these interactions and consider some meta-theoretical properties of its derivations. We then implement it in a NetLogo simulation to test experimentally its formal properties. Our analysis concerns in particular: conditions for consensus-reaching transmissions; epistemic costs induced by confirmation and rejection operations; the influence of ranking of the initially labelled nodes on consensus and costs; complexity results.

Item Type: Article
Additional Information: Article number = 12
Research Areas: A. > School of Science and Technology > Computer Science > Foundations of Computing group
Item ID: 21919
Notes on copyright: The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Useful Links:
Depositing User: Giuseppe Primiero
Date Deposited: 07 Jun 2017 14:16
Last Modified: 22 May 2023 16:40
URI: https://eprints.mdx.ac.uk/id/eprint/21919

Actions (login required)

View Item View Item

Statistics

Activity Overview
6 month trend
181Downloads
6 month trend
549Hits

Additional statistics are available via IRStats2.