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The wisdom of collective grading and the effects of epistemic and semantic diversity

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  • Aidan Lyon

    (University of Maryland at College Park)

  • Michael Morreau

    (UiT-The Arctic University of Norway)

Abstract

A computer simulation is used to study collective judgements that an expert panel reaches on the basis of qualitative probability judgements contributed by individual members. The simulated panel displays a strong and robust crowd wisdom effect. The panel’s performance is better when members contribute precise probability estimates instead of qualitative judgements, but not by much. Surprisingly, it does not always hurt for panel members to interpret the probability expressions differently. Indeed, coordinating their understandings can be much worse.

Suggested Citation

  • Aidan Lyon & Michael Morreau, 2018. "The wisdom of collective grading and the effects of epistemic and semantic diversity," Theory and Decision, Springer, vol. 85(1), pages 99-116, July.
    • Handle: RePEc:kap:theord:v:85:y:2018:i:1:d:10.1007_s11238-017-9643-7
    DOI: 10.1007/s11238-017-9643-7
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    References listed on IDEAS

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    5. José Alcantud & Annick Laruelle, 2014. "Dis&approval voting: a characterization," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(1), pages 1-10, June.
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    Cited by:

    1. Thomas Feliciani & Ramanathan Moorthy & Pablo Lucas & Kalpana Shankar, 2020. "Grade Language Heterogeneity in Simulation Models of Peer Review," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-8.
    2. Feliciani, Thomas & Morreau, Michael & Luo, Junwen & Lucas, Pablo & Shankar, Kalpana, 2022. "Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model," Research Policy, Elsevier, vol. 51(4).
    3. Thomas Feliciani & Junwen Luo & Lai Ma & Pablo Lucas & Flaminio Squazzoni & Ana Marušić & Kalpana Shankar, 2019. "A scoping review of simulation models of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 555-594, October.

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