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I liked the first few slides, reminded me of OODA loop models. But the rest.. I mean I get the connection between for eg knapsack problem and inventory style games, but it doesn’t get at what makes particular knapsacks interesting for eg. But perhaps that’s too domain specific?
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Like I’m aware of a result that Tetris with only z and S pieces is np hard so Tetris tuning knob becomes percentage of those pieces. But are there principles for coming up with those 6 tiles (s, z, L, J, I, T, o) as a great game set?
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In the case of Tetris, it’s literally every permutation of four units. Five would be too many, three is trivial. And board size matters too. So yeah, there’s a significant tuning factor even once you identify the problem, defining the extent of the problem.
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Personally, I like choosing a constraint like Tetris has (every combo of four units) and generating every possibility. That sort of thing is how you get a deck of trad cards, dominoes, etc.
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