Games can be scaled to different levels of complexity, which allows algorithms to be tested in simplified environments and humans to understand the fundamentals before moving on to more advanced games.
In poker, this is the inability to see an opponent’s hole cards.Īdditionally, poker is an exciting domain because it has chance events, it has simple rules yet complex strategy, and it’s frequently and competitively played around the world by human players with a variety of skill levels. AIPT Section 1.1: Background – Poker BackgroundĪ number of games have been used as artificial intelligence research domains including chess, checkers, Go, and poker, but poker is unique amongst these games because of its key element of imperfect information.
