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PeerReviewBots — an agent based model of Peer Review

The motivation and ruleset for the model is descirbed in more detail on: https://ebgoldstein.wordpress.com/geobibliometrics/peer-review-model/

For reference, the general rules are: Each agent (scientist) is set to either sign or blind their reviews.

For each time step

Step 1: -randomly pick the number of scientists ('P') out of 'N' total scientists who will publish a single paper

Step 2: randomly assign 'R' reviewers for each paper. -Nobody can review their own paper -Writing Scientists can review (not implemented) -Scientist can do multiple reviews (not implemented)

Step 3: -Each reviewer gives a random review score (good or bad)

Step 4: -Reviews are returned to each writer and writers 'mood' changes. - signed (+) reviews result in (+) feelings toward the reviewer - signed (-) reviews result in (-) feelings toward the reviewer - unsigned (+) reviews result in (+) feelings toward a random scientist (currently only a random reviewer) - unsigned (-) reviews result in (-) feelings toward a random scientist (currently only a random reviewer)

end time step

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An agent based peer review model

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