Let's suppose, for instance, that two roads diverge in a yellow wood and you have reliable information that road A is the correct path with 90% probability and road B is the correct path with 10% probability. The normal person takes road A and will be right 90% of the time.
On the other hand, if you try to be probabilistic about it and follow road B with 10% probability to reflect its 10% probability of being the right road, then your chances of picking the right road are 0.90.9 + 0.10.1 = 82%.
Maybe there's a more complex situation where the weighted random decision making is a better idea, but I'm not seeing it right now.
There are situations where you want to manipulate your range (set of hands) in a given spot so that your actions make up a certain distribution.
For example, if you want your range to be made up of 30% bluffs, you can figure out how often you get to that spot with a bluff and how often you get to that spot with a strong hand. Since you're always continuing with the strong hand, you can then know what percentage of the time you need to continue to bluff in order to accomplish this. Since it doesn't matter which of those hands you choose to bluff with, it generally makes sense to use randomness to decide in the moment.
In decisions not involving active adversaries, deciding at random doesn't give you anything over a deterministic solution.
- what is your utility of finding a treasure and not getting killed?
- what is your utility of not finding a treasure and not getting killed?
- does the other tribe know your utility distributions?
I'm pretty sure there's a solution to this that involves probability and fixed points but does not involve flipping a coin to chose a road.