caa a22 4500 46320705X CHVBK 20180405153129.0 cr unu---uuuuu 170326e20070401xx s 000 0 eng 10.1007/s10462-008-9083-4 doi (NATIONALLICENCE)springer-10.1007/s10462-008-9083-4 Computational modelling of switching behaviour in repeated gambles [Elektronische Daten] [Jiaying Zhao, Fintan Costello] We present a computational model which predicts people's switching behaviour in repeated gambling scenarios such as the Iowa Gambling Task. This Utility-Caution model suggests that people's tendency to switch away from an option is due to a utility factor which reflects the probability and the amount of losses experienced compared to gains, and a caution factor which describes the number of choices made consecutively in that option. Using a novel next-choice-prediction method, the Utility-Caution model was tested using two sets of data on the performance of participants in the Iowa Gambling Task. The model produced significantly more accurate predictions of people's choices than the previous Bayesian expected-utility model and expectancy-valence model. Springer Science+Business Media B.V., 2008 Switching nationallicence Repeated gambles nationallicence Iowa gambling task nationallicence Emotion nationallicence Zhao Jiaying School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut Costello Fintan School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut Artificial Intelligence Review Springer Netherlands 27/4(2007-04-01), 209-222 0269-2821 27:4<209 2007 27 10462 https://doi.org/10.1007/s10462-008-9083-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-008-9083-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhao Jiaying School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut NATIONALLICENCE 700 1- Costello Fintan School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 27/4(2007-04-01), 209-222 0269-2821 27:4<209 2007 27 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer