T. Trabasso and J. Bartolone (2003) used a computational model of narrative text comprehension to account for empirical findings. The authors show that the same predictions are obtained without running the model. This is caused by the model's computational setup, which leaves most of the model's input unchanged.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1037/0278-7393.31.2.374 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Predicting without modeling: a critique of Trabasso and Bartolone (2003).
J Exp Psychol Learn Mem Cogn
March 2005
Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, Nijmegen, Netherlands.
T. Trabasso and J. Bartolone (2003) used a computational model of narrative text comprehension to account for empirical findings.
View Article and Find Full Text PDFStory understanding and counterfactual reasoning.
J Exp Psychol Learn Mem Cogn
September 2003
Department of Psychology, The University of Chicago, 5848 South University Avenue, Chicago, IL 60637, USA.
D. Kahneman and A. Tversky (1982), in a seminal study on counterfactual reasoning, claimed empirical support for a simulation heuristic wherein ease of converting unusual conditions determines their selection as causes over normal conditions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!