Contradictory information flow in networks with trust and distrust

Primiero, Giuseppe, Bottone, Michele, Raimondi, Franco and Tagliabue, Jacopo (2016) Contradictory information flow in networks with trust and distrust. In: 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), 01-06 Dec 2016, Milan. (doi:10.1007/978-3-319-50901-3_29)

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Abstract

We offer a proof system and a NetLogo simulation for trust and distrust in networks where contradictory information is shared by ranked lazy and sceptic agents. Trust and its negative are defined as properties of edges: the former is required when a message is passed bottom-up in the hierarchy or received by a sceptic agent; the latter is attributed to channels that require contradiction resolution, or whose terminal is a lazy agent. These procedures are associated with epistemic costs, respectively for confirmation and refutation. We describe the logic, illustrate the algorithms implemented in the model and then focus on experimental results concerning the analysis of epistemic costs, the role of the agents’ epistemic attitude on distrust distribution and the influence of (dis)trust in reaching consensus.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published as: Primiero G., Bottone M., Raimondi F., Tagliabue J. (2017) Contradictory information flow in networks with trust and distrust. In: Cherifi H., Gaito S., Quattrociocchi W., Sala A. (eds) Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016. Studies in Computational Intelligence, vol 693. Springer, Cham
Research Areas: A. > School of Science and Technology > Computer Science > Foundations of Computing group
Item ID: 21086
Notes on copyright: The final publication is available at Springer via http://doi.org/10.1007/978-3-319-50901-3_29
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Depositing User: Giuseppe Primiero
Date Deposited: 12 Jan 2017 16:00
Last Modified: 06 Apr 2019 04:41
ISBN: 9783319509006
URI: https://eprints.mdx.ac.uk/id/eprint/21086

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