EA Sports has posted another NHL 13 blog. This one covers the new AI system in multi-season leagues, which handles computer trades, drafts and more. They call it GM Brain.
The first ‘in-game’ problem we had to solve was our previous Player Growth model. Previous NHL titles set every player in the league off on a trajectory of offensive growth, defensive ability growth, and athletic skill growth. The main problem with that approach was that there was no way to control it once it began. If enough players grew too well, we’d have salary creep, leading to too many players asking for too much money. We had no real way to manage overall league growth within our old system, so the old Player Growth Model had to go.
In NHL 13,we are now able to control growth patterns that will basically fall within historical tendencies we want to model. Games Modes Producer Gurn Sumal (and hockey stats/history junkie) analyzed all kinds of source data to see how often draft picks selected in a specific round went on to achieve greatness in the NHL, and how often they never went beyond the AHL. We are able to model and test drive scenarios using a tool that we created.