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Children’s sequential information search is sensitive to environmental probabilities
Authors:Jonathan D Nelson  Bojana Divjak  Gudny Gudmundsdottir  Laura F Martignon  Björn Meder
Institution:1. Center for Adaptive Behavior and Cognition (ABC), Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germany;2. Ludwigsburg University of Education, Institute of Mathematics and Computing, Reuteallee 46, 71634 Ludwigsburg, Germany
Abstract:We investigated 4th-grade children’s search strategies on sequential search tasks in which the goal is to identify an unknown target object by asking yes–no questions about its features. We used exhaustive search to identify the most efficient question strategies and evaluated the usefulness of children’s questions accordingly. Results show that children have good intuitions regarding questions’ usefulness and search adaptively, relative to the statistical structure of the task environment. Search was especially efficient in a task environment that was representative of real-world experiences. This suggests that children may use their knowledge of real-world environmental statistics to guide their search behavior. We also compared different related search tasks. We found positive transfer effects from first doing a number search task on a later person search task.
Keywords:Information search  Optimal experimental design principles  Twenty-questions game  Optimality  Heuristics  Information gain
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