If improving the simulation always means more difficulty, then that means the rulesets are all perfectly efficient.
However, if the rulesets are not perfectly efficient, then some of them could be made easier to learn, while still being as good or better at simulation and distinctions.
@UNY0N @glimse
This is Liebnitzian thinking.
If improving the simulation always means more difficulty, then that means the rulesets are all perfectly efficient.
However, if the rulesets are not perfectly efficient, then some of them could be made easier to learn, while still being as good or better at simulation and distinctions.
Thanks for the knowledge dump.
I was just describing a general relationship between complexity and realism that I have experienced, it’s certainly not a perfect correlation.