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    Rank aggregation and belief revision dynamics

    Volzhanin, Igor and Hahn, Ulrike and Zhang, Dell and Hartmann, S. (2017) Rank aggregation and belief revision dynamics. In: UNSPECIFIED (ed.) Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Cognitive Science Society, pp. 3454-3459. ISBN 9780991196760.

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    Abstract

    In this paper, we compare several popular rank aggregation methods by the accuracy of finding the true (correct) ranked list. Our research reveals that under most common circumstances simple methods such as the average or majority actually tend to outperform computationally-intensive distance-based methods. We then conduct a study to compare how actual people aggregate ranks in a group setting. Our finding is that individuals tend to adopt the group mean in a third of all revisions, making it the most popular strategy for belief revision.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): rank aggregation, distance measure, probabilistic model
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centre: Birkbeck Knowledge Lab, Cognition, Computation and Modelling, Centre for
    Depositing User: Dr Dell Zhang
    Date Deposited: 04 Oct 2017 14:10
    Last Modified: 28 Jul 2019 02:13
    URI: http://eprints.bbk.ac.uk/id/eprint/18785

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