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Disagreement for control of rational cheating in peer review: a simulation

Published: 04 June 2012 Publication History

Abstract

Understanding the peer review process could help research and shed light on mechanisms that underlie crowdsourcing. We present an agent-based model of peer review built on three entities - the paper, the scientist and the conference. The model allows us to define a rich model of scoring, evaluating and selecting papers for conferences. Some of the reviewers apply a strategy (called "rational cheating") aimed to prevent papers better than their own to be accepted. We show how programme committee update, based on disagreement control, can remove rational cheaters.

References

[1]
D. Callahan. Rational Cheating: Everyone's Doing It. Journal of Forensic Accounting, pages 575+, Oct. 2004.
[2]
F. Casati, M. Marchese, A. Ragone, and M. Turrini. Is peer review any good? A quantitative analysis of peer review. Technical report, Ingegneria e Scienza dell'Informazione, University of Trento, 2009.
[3]
B. D. Neff and J. D. Olden. Is Peer Review a Game of Chance? BioScience, 56(4):333--340, Apr. 2006.
[4]
F. Squazzoni and C. Gandelli. San Matthew Is Always There. A Study on Peer Review and the Scientific Community Structure. 2011.
[5]
S. Thurner and R. Hanel. Peer-review in a world with rational scientists: Toward selection of the average. Aug. 2010.

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Published In

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AAMAS '12: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
June 2012
376 pages
ISBN:0981738133

Sponsors

  • The International Foundation for Autonomous Agents and Multiagent Systems: The International Foundation for Autonomous Agents and Multiagent Systems

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Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 04 June 2012

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Author Tags

  1. agent-based simulation
  2. artificial social systems
  3. cognitive modeling
  4. peer review
  5. rational cheating
  6. reliability
  7. reputation
  8. trust

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  • Research-article

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AAMAS 12
Sponsor:
  • The International Foundation for Autonomous Agents and Multiagent Systems

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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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