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How to trust a few among many

How to trust a few among many
How to trust a few among many
The presence of numerous and disparate information sources available to support decision-making calls for efficient methods of harnessing their potential. Information sources may be unreliable, and misleading reports can affect decisions. Existing trust and reputation mechanisms typically rely on reports from as many sources as possible to mitigate the influence of misleading reports on decisions. In the real world, however, it is often the case that querying information sources can be costly in terms of energy, bandwidth, delay overheads, and other constraints. We present a model of source selection and fusion in resource-constrained environments, where there is uncertainty regarding the trustworthiness of sources. We exploit diversity among sources to stratify them into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of certain biases. Through controlled experiments, we demonstrate that a diversity-based approach is robust to biases introduced due to dependencies among source reports, performs significantly better than existing approaches when sampling budget is limited and equally as good with an unlimited budget.
1387-2532
1-30
Etuk, Anthony
ef44dfa1-7b49-472a-a683-e0842f216457
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Sensoy, Murat
f0ca9c98-6275-451d-ad28-c0a1a7305d9c
Srivatsa, Mudhakar
7866037c-a17f-4718-9d03-75b18d1251ca
Etuk, Anthony
ef44dfa1-7b49-472a-a683-e0842f216457
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Sensoy, Murat
f0ca9c98-6275-451d-ad28-c0a1a7305d9c
Srivatsa, Mudhakar
7866037c-a17f-4718-9d03-75b18d1251ca

Etuk, Anthony, Norman, Timothy, Sensoy, Murat and Srivatsa, Mudhakar (2017) How to trust a few among many. Autonomous Agents and Multi-Agent Systems, 1-30. (doi:10.1007/s10458-016-9337-5).

Record type: Article

Abstract

The presence of numerous and disparate information sources available to support decision-making calls for efficient methods of harnessing their potential. Information sources may be unreliable, and misleading reports can affect decisions. Existing trust and reputation mechanisms typically rely on reports from as many sources as possible to mitigate the influence of misleading reports on decisions. In the real world, however, it is often the case that querying information sources can be costly in terms of energy, bandwidth, delay overheads, and other constraints. We present a model of source selection and fusion in resource-constrained environments, where there is uncertainty regarding the trustworthiness of sources. We exploit diversity among sources to stratify them into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of certain biases. Through controlled experiments, we demonstrate that a diversity-based approach is robust to biases introduced due to dependencies among source reports, performs significantly better than existing approaches when sampling budget is limited and equally as good with an unlimited budget.

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Accepted/In Press date: 13 May 2016
e-pub ahead of print date: 25 May 2016
Published date: May 2017
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 403231
URI: https://eprints.soton.ac.uk/id/eprint/403231
ISSN: 1387-2532
PURE UUID: e54790be-88c2-4cba-90bc-21b0c74d1225
ORCID for Timothy Norman: ORCID iD orcid.org/0000-0002-6387-4034

Catalogue record

Date deposited: 28 Nov 2016 15:11
Last modified: 06 Jun 2018 12:19

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