Multicriteria optimization is distinct from multicriteria value decision analysis. The former does not model the value/utility of the criteria, while the latter does. If you do not model value/utility (what you need) then you cannot solve the underlying multicriteria problem.
Sure. But at least when they are actually whistleblowed (by people who "just" work for the company) there is a law which can be used to call to a court the theople who are legally accountable for the company
Are you able to specify the sources based on which you are supporting these claims, namely that elections are not not decided by "undecided" voters but rather by pushing your supporters to the election polls?
> I suspect it was a simpler use case - they would group users into segments, and then craft different add strategies for each one (maybe based on other research or just expert opinion).
It is in this last process that it is individual-based. It is in this last process that AB tests are done individually as a function of the specific strategy applied to him/her
Multicriteria value decision analysis theory and methods are able to provide the solution to model the need (utility).
For instance, in reinforcement learning the payoff (goal) function is always a given without any depth consideration about its construction. It can be modeled by using the methods referred previously.
Another way to discount future consequences is to apply different weights to them using a sound multicriteria value measurement method. This procedure also allows you to value differently distinct improvements in the future consequences based on the time they occur