[kaveh_h]

For real life applications, parsing the ”scene” would have impact as it could only convey imperfect information retained. In the game of starcraft the information is perfect when fog of war have been removed this together with unlimited attention (camera viewport) helps action potential and macro planning. No player is ever going to be able to consider precise strategy on the whole map perfectly in their mind. If deepmind wanted to mimic human limitations perfectly they would have to provide imperfect information for AlphaStar, e.g when providing information of locations of objects sample a random variable from a probability distribution which represent the location imperfectly and making that distribution bigger the longer the attention of the A.I wanders from the object both spatialy and temporal. Of course the usefulness of having these limitations is purely to model maximum theoretical human mental capacity and it’s use case could be to help explore strategies that work for actual humans.

[feanaro]

There is another potential use: given these limitations, an AI might be able to learn to be better strategically, which could translate to an even greater advantage once the limitations were removed later on.

[posterboy]

windowing the focus perhaps, yes, but I'd assume it's the opposite and the focus is applied more freely.