Planning algorithms evaluate probability of success, suggest low-risk alternatives
Friday, January 16, 2015 - 08:00
in Psychology & Sociology
Imagine that you could tell your phone that you want to drive from your house in Boston to a hotel in upstate New York, that you want to stop for lunch at an Applebee's at about 12:30, and that you don't want the trip to take more than four hours. Then imagine that your phone tells you that you have only a 66 percent chance of meeting those criteria—but that if you can wait until 1:00 for lunch, or if you're willing to eat at TGI Friday's instead, it can get that probability up to 99 percent.