/*
A Board Node represents a cell on the game board. It contains adjacency relationships between
the given cell and its neighbors, the token contained by the cell, it’s position on the board
(row, column), and a score. This score is assigned through a heuristic process which aims to
quantify the quality of an empty node, i.e. a potential move.
The Board Network is a 2 dimensional array of Board Nodes. It is a reflection of the
current state of the Board object it is created from.
The Possible Moves available in a Board Network is the List of all its empty nodes.
*/
private int[] hardMove()
{
AIBoard aiBoard = new AIBoard(gameBoard);
return aiBoard.Decision();
}
/*
* A Board Node represents a cell on the game board. It contains adjacency relationships between
* the given cell and its neighbors, the token contained by the cell, it’s position on the board
* (row, column), and a score. This score is assigned through a heuristic process which aims to
* quantify the quality of an empty node, i.e. a potential move.
* The Board Network is a 2 dimensional array of Board Nodes. It is a reflection of the
* current state of the Board object it is created from.
* The Possible Moves available in a Board Network is the List of all its empty nodes.
*/
private int[] hardMove()
{
AIBoard aiBoard = new AIBoard(gameBoard);
return(aiBoard.Decision());
}