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Proof of principle for a self-governing prediction and forecasting reward algorithm: Modeling consensus of a group of experts in adversarial collaboration.
Jose Osvaldo Gonzalez Hernandez Ted C. Rogers Jonathan Marino Brandon Velasco | Published Sunday, May 14, 2023Package for simulating the behavior of experts in a scientific-forecasting competition, where the outcome of experiments itself depends on expert consensus. We pay special attention to the interplay between expert bias and trust in the reward algorithm. The package allows the user to reproduce results presented in arXiv:2305.04814, as well as testing of other different scenarios.