RandomPlayer

Random players are useful in many situations for CardStock. They can be deployed for initial playtesting to ensure a game is robust to all player choices and unbiased toward a particular seating arrangement. They can also be employed by more advanced AIPlayer implementations within Monte Carlo simulations.

In RandomPlayer, the MakeAction method simply returns a uniformly randomly chosen int within the range of 0 to the number of choices given to the player.