Research brainstorm went down today in FourO'Nine:

What I'm going to do is gather hundreds of hours of Madden'0X gameplay/footage for the purpose of teaching a computer how to beat a human opponent. I would take a human player (or players), and just observe their playcalls over and over, collecting, then logically sorting through, the information on what plays they called and under what situations, etc. I would use data mining techniques based in cultural algorithms to then, months after collecting this data, invite the player(s) back to play against a computer deciding on calls throughout the game. Decisions made by the Madden-playing framework would all come through based on, again, cultural algorithms as to which call would be best. For better results, both the human player and the framework will simply coach the game (only making calls), and the game's original AI would execute the on-field action. I feel that this research would lead to further uses of cultural algorithms to dynamically change AI agents within games to be ubiquitous to any player's style and skill level.

Madden research would be most excellent.

cout << "Hello, world!";
return 0;