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Mental Models and Transfer Learning

Author

Listed:
  • Ignacio Esponda
  • Emanuel Vespa
  • Sevgi Yuksel

Abstract

Using a laboratory experiment, we investigate the extent to which learning is transferred between related problems in the context of an updating task. The updating principle we study requires updating positively after a positive signal and negatively after a negative signal. In the first environment, most subjects initially fail to satisfy the principle but eventually adjust after feedback. The environment they face subsequently presents the same challenges but with different parameter values. We find weak evidence for transfer learning: only half of the subjects who learn to be consistent with the principle remain so when the parameter values are changed.

Suggested Citation

  • Ignacio Esponda & Emanuel Vespa & Sevgi Yuksel, 2023. "Mental Models and Transfer Learning," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 659-664, May.
    • Handle: RePEc:aea:apandp:v:113:y:2023:p:659-64
    DOI: 10.1257/pandp.20231114
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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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