I wonder whether the use of games as a metaphor would make general
machine learning concepts more easily understood by non-specialists?
That is, if you took a machine learning paper and rewrote it in terms
of games, would that make it easier or harder to understand for people
unfamiliar with both game programming and machine learning?

Of course, this is hard to tell once you've learned either vocabulary.
It's easy to assume that whatever jargon you know (or invent) is
inherently easier to understand.

- Brian
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