Abstract
We analyze the learning behavior of the players in the commons game by computer simulation. Learning and adaptation are incorporated into the program of the player with a learning algorithm . We modify the algorithm to fit more closely to the game structure, so that the searching power improves. We also discuss to extend the learning structure.