Using Monte Carlo simulation in game design
Introduction “Shouldn’t I always attack with my whole army?”
“Why would I ever pick this card?”
If you’ve ever had a playtest that led to awkward questions like these - and realized that your players were totally right - you’ve probably wondered how you might catch this sort of issue during design. Maybe you recalled a confusing formula like \( {n\choose k} = \frac{n!}{k!(n-k)!} \), but found it woefully inadequate when dealing with the sort of scenarios common in board games.
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