Accounting for outcome and process measures in dynamic decision-making tasks through model calibration
Computational models of learning and the theories they represent are often validated by calibrating them to human data on decision outcomes. However, only a few models explain the process by which these decision outcomes are reached. We argue that models of learning should be able to reflect the pro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University Library Heidelberg
2015-09-01
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| Series: | Journal of Dynamic Decision Making |
| Subjects: | |
| Online Access: | https://journals.ub.uni-heidelberg.de/index.php/jddm/article/view/17663 |