Strategies for truth discovery under resource constraints

Anthony Etuk, Timothy J. Norman, Nir Oren, Murat Şensoy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1807-1808
Number of pages2
Volume3
ISBN (Electronic)9781450337717
Publication statusPublished - 2015
Event14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015 - Istanbul, Turkey
Duration: 4 May 20158 May 2015

Conference

Conference14th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015
CountryTurkey
CityIstanbul
Period4/05/158/05/15

Keywords

  • Diversity
  • Sampling
  • Trust
  • Truth discovery

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  • Cite this

    Etuk, A., Norman, T. J., Oren, N., & Şensoy, M. (2015). Strategies for truth discovery under resource constraints. In AAMAS 2015 - Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (Vol. 3, pp. 1807-1808). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). http://www.ifaamas.org/Proceedings/aamas2015/aamas/p1807.pdf