Setting out to invest ones money is an ominous task which requires a lot of time and effort.

Trial and error learning involves a flexible (unplanned) adjustment of the considered actions and targets to new information about the relevant environment as it emerges.

As an athletic example of Purkinje-based cerebellar mastery, the statement says: “When learning to shoot a basketball, people usually miss many times before getting one shot through the hoop. As ...

Robots, much like children, are now using simple games to learn important skills. Pepper, SoftBank’s adorable humanoid robot, recently learned to play ball-in-a-cup (also called ring and pin) in ...

The occasionally scandalous failures of autonomous decision-making by machine learning without any or insufficient human control serve as constant reminders that the technology can only assist and ...

The machine uses neural network-based deep learning algorithms to master tasks through trial and error, much like humans do.

Novel startup companies often face not only risk, but also unforeseeable uncertainty (the inability to recognize and articulate all relevant variables affecting performance). The literature recognizes ...

Looking back over more than three decades, businesses operating on the mainland have learned by trial and error, just as Beijing has been learning to adapt to its open door policy.