Humans can adopt optimal discounting strategy under real-time constraints.
Critical to our many daily choices between larger delayed rewards, and smaller more immediate rewards, are the shape and the steepness of the function that discounts rewards with time. Although research in artificial intelligence favors exponential discounting in uncertain environments, studies with...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2006-11-01
|
| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC1635539?pdf=render |