A Comparison of the Belief-Adjustment Model and the Quantum Inference Model as Explanations of Order Effects in Human Inference
Year: 2010
Type: article
Abstract: One of the oldest and most reliable findings regarding human inference is that the order of evidence affects the final judgment.These order effects are non-Bayesian by nature and are difficult to explain by classical probability models.We use the empirical results of two jury decision-making experiments to compare two different models of human belief updating: the belief-adjustment model and the quantum inference model.We also provide evidence to suggest the belief-adjustment model has limited predictive power when accounting for tasks involving extreme evidence whereas the quantum inference model does not.
Institution: Indiana University
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2619614894