Usage of this program

./run

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			Overview of layout of the program

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Board.main()--------Entrance of the program: In this function, two computer players are initialized;and the Board is initialized. Then a variable rounds is set, which means how many rounds are played between these two players.

ComputerPlayer-------Model a ComputerPlayer: In this module, there are two functions, which are randomPlay and algorithmPlay respectively. These two functions will change the current board state. And they both return an identifier, which can let Board.main() determine whether the game should be continued or the game is winned by a player. In randomPlay, the player just plays the game randomly, while the player plays according to the algorithm in algorithmPlay. In algorithmPlay, just three things are done: first, set up parameters like number of descents, the root of descent tree; second, call Ep.descent to do descent whose parameter the the root; third, determine which move is the best one.

Ep---------------Core of the expectation propagation algorithm Basically, in this module, the algorithm is implemented and all related message passing methods are implemented. The method descent is the backbone and other message passing methods serve for it. Additionally, all calculation related to Gaussian distribution are carried out in Distribution module

Distriubtion ----------------- All dirty works of calculation about Gaussian distributions and correlated coefficient In this module, all messy distribution and correlated coefficient calcualtions are implemented. Notice should be paid tothe Min/Max calculation of multiple dependent Gaussian distributions

Node --------------------- Support build-up of Game tree It is an entity module, which supports implementation of Game node in a Game tree. In every node, it has both pointer to its parent and its children. Also, binded values and distributions are its properties. Notice: the getChild() function is varied if the Board is changed. For different game board, the strategy to get valid children nodes of a specific node is varied