No, A Pareto, the excellent economist.
Mario meets Pareto
121–130 of 184 posts
Re: Mario meets Pareto
#122Nice article! The resulting Pareto front really highlights how hard game design is. You can get millions of possible combinations but the reality is that only a handful of them will ever happen in a competitive environment.
In a sufficiently complex game every build is on the pareto front as it optimizes some specific cost function.
Re: Mario meets Pareto
#123Re: Mario meets Pareto
#124If I'm optimizing for 'weight' is it supposed to be heavier or lighter? At the moment it seems the more weight I put on 'weight' the heavier the build is.
Re: Mario meets Pareto
#125Nice article! The resulting Pareto front really highlights how hard game design is. You can get millions of possible combinations but the reality is that only a handful of them will ever happen in a competitive environment.
Keep in mind that the pareto front is not a two-dimensional line, but a surface in a some high dimensional vector space. In every game there are many, many aspects to min/max. As others pointed out even Mario Kart doesn't boil down to speed and acceleration. In a sufficiently complex game every build is on the pareto front as it optimizes some specific cost function.
However, if your one and only goal is winning I suspect that the high dimensional vector space will end up not looking so high dimensional once you account for the correlations between the different features you use. This is already clear from the very strong correlation between speed and accelaration.
[]I myself have played MK64 a lot and sometimes the goal was simply to see the world burn, standing on a corner with a shell waiting for the what would've been the winner of the race. Fond memories.
Re: Mario meets Pareto
#126Or! In this case, it reduces to a one-dimensional optimisation thanks to the structure of the problem.
What we're optimising in portfolio selection is not the return of a single investment, but of a lifetime of investments. And thanks to compounding, that is a function of both risk and return. So we can find the optimal allocation without making any tradeoff: https://two-wrongs.com/the-misunderstood-kelly-criterion.htm...
Re: Mario meets Pareto
#127Re: Mario meets Pareto
#128Nice article! The resulting Pareto front really highlights how hard game design is. You can get millions of possible combinations but the reality is that only a handful of them will ever happen in a competitive environment.
Re: Mario meets Pareto
#129I always knew those little red tires were the best. Sadly, this misses the most important thing to me: style. And my love of Zelda. So I'm afraid I'll personally have to disregard all of this.