LogFAQs > #976641538

So you'd just set exponentially more valuable goals and try and figure out which lower value goals to put and how to format them, such as adjusting the threshold to prevent water animation from triggering a goal. In theory you could structure the entire games goal into a brand new AI and have it reach a game winning state within a certain number of generations?

10^1 Points:
Find new screens
Level up pokemon
Heal pokemon (but only when they are injured somehow?)

10^2 Points:
Defeat trainers

10^3 Points:
Defeat Brock
Exit Mt Moon ?

10^4 Points:
Defeat Misty
Talk to Bill

10^5 Points:
Acquire Cut
Teach Cut to a Pokemon
Enter Vermillion Gym (Speak to a trash can in the gym for the first time?)

Something like that? But then when you start to get to things like acquiring and using HMs you start to introduce new mandatory mechanics that will require inputs that are pretty unlike anything that it has had to learn how to do before, right? Random exploration will probably get it through the diglett cave and to receive Cut, but without specific programming how will an iteration that has 'learned' enough to reach that point in the game go through the steps necessary to teach the HM to a pokemon? It just spent however many hours learning to AVOID opening it's menu so it could actually get stuff done.