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A Simulation Of Disagreement For Control Of Rational Cheating In Peer Review

Author

Listed:
  • FRANCISCO GRIMALDO

    (Departament d'Informàtica, Universitat de València, Av. de la Universitat, s/n, Burjassot, 46100, Spain)

  • MARIO PAOLUCCI

    (Institute of Cognitive Sciences and Technologies, Italian National Research Council, Via Palestro 32, Roma, 00185, Italy)

Abstract

Understanding the peer review process could help research and shed light on the mechanisms that underlie crowdsourcing. In this paper, we present an agent-based model of peer review built on three entities — the paper, the scientist and the conference. The system is implemented on a BDI platform (Jason) that allows to define a rich model of scoring, evaluating and selecting papers for conferences. Then, we propose a programme committee update mechanism based on disagreement control that is able to remove reviewers applying a strategy aimed to prevent papers better than their own to be accepted ("rational cheating"). We analyze a homogeneous scenario, where all conferences aim to the same level of quality, and a heterogeneous scenario, in which conferences request different qualities, showing how this affects the update mechanism proposed. We also present a first step toward an empirical validation of our model that compares the amount of disagreements found in real conferences with that obtained in our simulations.

Suggested Citation

  • Francisco Grimaldo & Mario Paolucci, 2013. "A Simulation Of Disagreement For Control Of Rational Cheating In Peer Review," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(07), pages 1-24.
    • Handle: RePEc:wsi:acsxxx:v:16:y:2013:i:07:n:s0219525913500045
    DOI: 10.1142/S0219525913500045
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    Citations

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    Cited by:

    1. Bravo, Giangiacomo & Farjam, Mike & Grimaldo Moreno, Francisco & Birukou, Aliaksandr & Squazzoni, Flaminio, 2018. "Hidden connections: Network effects on editorial decisions in four computer science journals," Journal of Informetrics, Elsevier, vol. 12(1), pages 101-112.
    2. 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.
    3. Mario Paolucci & Francisco Grimaldo, 2014. "Mechanism change in a simulation of peer review: from junk support to elitism," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 663-688, June.
    4. Francisco Grimaldo & Mario Paolucci & Jordi Sabater-Mir, 2018. "Reputation or peer review? The role of outliers," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1421-1438, September.
    5. Babin, J. Jobu & Chauhan, Haritima S. & Liu, Feng, 2022. "You Can’t Hide Your Lying Eyes: Honesty Oaths and Misrepresentation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).

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