Cognitive biases can be mathematically quantified through experimental paradigms
Cognitive biases and decision-making heuristics can be successfully quantified through formal computational models, experimental paradigms, and advanced mathematical frameworks.
The retrieved literature includes multiple peer-reviewed studies illustrating how cognitive biases, heuristics, and decision-making processes are formally operationalized and mathematically quantified using behavioral models, Bayesian frameworks, and quantitative analytics.
Oluwaremi Ayoka Lawal, Titilayo Elizabeth Oduleye. Behavioral Financial Analytics: A Conceptual Model for Explaining Enterprise Performance. 2023. https://doi.org/10.62225/2583049x.2023.3.6.5600
Paper [6] demonstrates how latent psychological variables and cognitive biases can be mathematically integrated with behavioral financial analytics to forecast performance.
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Molloy MF, Lee TG, Jonides J, Zhang H, Sellers J, Heathcote A, Sripada C, Weigard AS. Joint Cognitive Models Reveal Sources of Robust Individual Differences in Conflict Processing.. 2026. https://doi.org/10.1007/s42113-026-00263-1
Paper [10] applies formal cognitive process models and hierarchical Bayesian joint modeling to quantify parameters of human decision-making and performance.
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