Year: 2004
Type: article
Abstract: In the past decade the traditional falsificationist view of hypothesis-testing tasks, such as Wason’s selection task, has become criticized from a Bayesian perspective. In this report a normative extension of Oaksford’s and Chater’s (1994, 1998) influential Bayesian theory is proposed, that not only takes quantitative but also qualitative (structural) knowledge into account. In an experiment it is shown that humans appear to be sensitive to both the quantitative and the qualitative preconditions of the proposed normative models.
Author: Momme von Sydow
Institution: University of Göttingen
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2767371857