Humans can adopt optimal discounting strategy under real-time constraints
2006

Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints

Sample size: 20 publication 10 minutes Evidence: high

Author Information

Author(s): Schweighofer N, Shishida K, Han C. E, Okamoto Y, Tanaka S. C, Yamawaki S, Doya K

Primary Institution: University of Southern California

Hypothesis

In situations of repeated forced choices with varying delays to rewards, a discounting strategy that values rewards with longer delays less than hyperbolic discounting would maximize total gain.

Conclusion

The study found that most subjects adopted exponential discounting, which maximized their total reward gain in a decision-making task.

Supporting Evidence

  • Most subjects adopted exponential discounting in the experiment.
  • The average indifference line was much closer to that of an exponential model than a hyperbolic model.
  • Exponential discounting maximized total reward gain in the task.
  • Fourteen out of twenty subjects exhibited pure exponential discounting.
  • Subjects gained an average of 1840 yen, indicating effective decision-making.

Takeaway

When choosing between rewards, people can be smart and pick the option that gives them the most money in the long run, even if it means waiting a little longer.

Methodology

Subjects chose between a smaller immediate reward and a larger delayed reward in a task designed to mimic animal foraging, with varying experienced delays.

Potential Biases

Potential bias due to the exclusion of subjects based on specific criteria, which may not represent the general population.

Limitations

The study only included male subjects, which may limit the generalizability of the findings.

Participant Demographics

Twenty healthy, right-handed male volunteers with no history of psychiatric or neurological disorders.

Statistical Information

P-Value

p<0.005

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pcbi.0020152

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication