Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making

30 Nov 2016 Gali Noti Effi Levi Yoav Kolumbus Amit Daniely

A large body of work in behavioral fields attempts to develop models that describe the way people, as opposed to rational agents, make decisions. A recent Choice Prediction Competition (2015) challenged researchers to suggest a model that captures 14 classic choice biases and can predict human decisions under risk and ambiguity... (read more)

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