Predicting Individual Human Reasoning: The PRECORE-Challenge
- Marco Ragni, University of Freiburg, Freiburg, Germany
- Nicolas Riesterer, Cognitive Computation Lab, University of Freiburg, Freiburg, BW, Germany
- Sangeet Khemlani, Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, WASHINGTON, District of Columbia, United States
AbstractCognitive modeling is based on aggregate data. In recent years, skepticism about general group-to-individual generalizability has begun to emerge (Molenaar, 2004; Fisher, Medaglia, & Jeronimus, 2018). Simultaneously, results have shown that the current state of the art in modeling reasoning is approaching a ceiling caused by the focus on aggregates (Riesterer, Brand, & Ragni, 2018). The time is ripe to adopt a new perspective on the cognitive modeling problem: modeling the individual reasoner.
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