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. [Read More]