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Christina Leuker1, Thorsten Pachur1, Ralph Hertwig1

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People learn risk-reward associations to make decisions under uncertainty. They infer probabilities from payoffs, influencing choices based on learned relationships, demonstrating an adaptive heuristic.

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Area of Science:

  • Cognitive psychology
  • Decision science
  • Behavioral economics

Background:

  • Individuals frequently face decisions with unknown probabilities, necessitating strategies to manage uncertainty.
  • A common strategy involves inferring probabilities from potential payoffs, leveraging inverse relationships observed in various environments.

Purpose of the Study:

  • To investigate how individuals learn risk-reward relationships from environmental exposure.
  • To determine the impact of learned risk-reward associations on decision-making preferences under uncertainty.

Main Methods:

  • Three experiments (N=352) exposed participants to choice environments with varying risk-reward structures (negative, positive, uncorrelated).
  • Learning was assessed using gambles with explicit payoffs/probabilities and gambles involving epistemic events.
  • Subsequent decisions under uncertainty were analyzed to observe preference shifts.

Main Results:

  • Participants successfully learned risk-reward associations across different environmental structures.
  • Learned associations were exploited by inferring probabilities from payoff magnitudes.
  • Preferences systematically shifted: negative association led to preference for uncertainty with low payoffs, reversing with high payoffs; positive association showed the opposite pattern.

Conclusions:

  • The human mind can learn and utilize risk-reward relationships to navigate decisions under uncertainty.
  • The observed adaptive changes in preferences support the application of a risk-reward heuristic.
  • This heuristic allows for flexible decision-making by inferring unknown probabilities from observable payoff information.