Nevanlinna prize-winner Constantinos Daskalakis explained how he treated the problem of Nash equilibrium computing after 60 years.
The Greek mathematician confirmed that the so-called Nash equilibrium, a classic case of game theory, has the same complexity as NP-complete, that is, it is insoluble by any other algorithm.  So, the behavior of competitors in a time compatible situation cannot always be predicted.
This applies a market equilibrium in competitive situations. It is not guaranteed that competitors will always slip and that break-even and analysts will always be discovered.
Its removal is applied to a machine learning algorithm, based on artificial intelligence. This algorithm is based on the decision process, from examples, in an element of unknown class (like a photo) is of a certain type (car, for example).