Name
Abstract | ||
|---|---|---|
In economics and psychology, delay discounting is often used to characterize how individuals choose between a smaller immediate reward and a larger delayed reward. People with higher delay discounting rate (DDR) often choose smaller but more immediate rewards (a "today person"). In contrast, people with a lower discounting rate often choose a larger future rewards (a "tomorrow person"). Since the ability to modulate the desire of immediate gratification for long term rewards plays an important role in our decision-making, the lower discounting rate often predicts better social, academic and health outcomes. In contrast, the higher discounting rate is often associated with problematic behaviors such as alcohol/drug abuse, pathological gambling and credit card default. Thus, research on understanding and moderating delay discounting has the potential to produce substantial societal benefits. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Artificial Intelligence | Social psychology,Actuarial science,Discounting,Computer science,Gratification,Substance abuse,Credit card,Artificial intelligence,Machine learning |
DocType | Volume | Citations |
Journal | abs/1703.07726 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Ding | 1 | 15 | 8.48 |
| Warren K Bickel | 2 | 12 | 3.51 |
| Shimei Pan | 3 | 684 | 64.41 |