An associative framework for probability judgement: An application to biases.

• DOI: 10.1037/0278-7393.29.1.80
• Publication Date: 2005-10-11T21:06:41Z
• Authors: Pedro L. Cobos; Julián Almaraz; Juan A. García-Ma...
• Keywords: Conjunction (astronomy); Associative learning; Associative property; Judgement; Replicate; Fallacy

Three experiments show that understanding of biases in probability judgment can be improved by extending the application associative-learning framework. In Experiment 1, authors used M. A. Gluck and G. H. Bower's (1988a) diagnostic-learning task to replicate apparent base-rate neglect induce conjunction fallacy a later phase as by-product conversion bias. 2, found stronger evidence bias with same learning task. 3, changed some fallacies were not based on The obtained 3 explained adding an averaging component model.