Strategies for truth discovery under resource constraints
Strategies for truth discovery under resource constraints
We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.
Diversity, Sampling, Trust, Truth discovery
1807-1808
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Etuk, Anthony
ef44dfa1-7b49-472a-a683-e0842f216457
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Oren, Nir
00646ccd-977b-4442-88c7-d18089b26670
Şensoy, Murat
769b0b6a-705b-456a-ab3d-123bca9cc66a
2015
Etuk, Anthony
ef44dfa1-7b49-472a-a683-e0842f216457
Norman, Timothy J.
663e522f-807c-4569-9201-dc141c8eb50d
Oren, Nir
00646ccd-977b-4442-88c7-d18089b26670
Şensoy, Murat
769b0b6a-705b-456a-ab3d-123bca9cc66a
Etuk, Anthony, Norman, Timothy J., Oren, Nir and Şensoy, Murat
(2015)
Strategies for truth discovery under resource constraints.
Bordini, Rafael H., Yolum, Pinar, Elkind, Edith and Weiss, Gerhard
(eds.)
In AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems.
vol. 3,
International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).
.
(doi:10.5555/2772879.2773447).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.
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More information
Published date: 2015
Additional Information:
Publisher Copyright:
Copyright © 2015, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
Venue - Dates:
14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, , Istanbul, Turkey, 2015-05-04 - 2015-05-08
Keywords:
Diversity, Sampling, Trust, Truth discovery
Identifiers
Local EPrints ID: 469194
URI: http://eprints.soton.ac.uk/id/eprint/469194
ISSN: 1548-8403
PURE UUID: 4b0dc55a-6377-4c29-8c61-a8c0f10d40fc
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Date deposited: 08 Sep 2022 17:29
Last modified: 20 Jul 2024 01:49
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Contributors
Author:
Anthony Etuk
Author:
Nir Oren
Author:
Murat Şensoy
Editor:
Rafael H. Bordini
Editor:
Pinar Yolum
Editor:
Edith Elkind
Editor:
Gerhard Weiss
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