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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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    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.


    Item Type: Book Section
    Keyword(s) / Subject(s): rank aggregation, distance measure, probabilistic model
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab, Cognition, Computation and Modelling, Centre for, Data Analytics, Birkbeck Institute for
    Depositing User: Dell Zhang
    Date Deposited: 04 Oct 2017 14:10
    Last Modified: 09 Aug 2023 12:41


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