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/// <summary>
/// Test to see that mini-max algorithm function In jj47Player works as intended.
/// </summary>
/// <param name="debugChooseMoveMiniMaxAlgorithmFunctionTop">enable or disable for TOP player</param>
/// <param name="debugChooseMoveMiniMaxAlgorithmFunctionBottom">enable or disable for BOTTOM player</param>
private static void DebugChooseMoveMiniMaxAlgorithmFunction(bool debugChooseMoveMiniMaxAlgorithmFunctionTop,
bool debugChooseMoveMiniMaxAlgorithmFunctionBottom)
{
// Test for TOP player.
if (debugChooseMoveMiniMaxAlgorithmFunctionTop == true)
{
// Create new game board.
Board testBoardMiniMaxTOP = new Board(Position.Top);
// Test as TOP Player.
jj47Player testTopPlayer = new jj47Player(Position.Top, 3000);
// Calls method that implement mini-max algorithm to predict the optimal move.
int optimalMove = testTopPlayer.ChooseMove(testBoardMiniMaxTOP);
Console.WriteLine("TOP Player AI determined optimal board move was: {0}", optimalMove);
}
// Test for BOTTOM player.
if (debugChooseMoveMiniMaxAlgorithmFunctionBottom == true)
{
// Create new game board.
Board testBoardMiniMaxBottom = new Board(Position.Bottom);
// Test as TOP Player.
jj47Player testBottomPlayer = new jj47Player(Position.Bottom, 3000);
// Calls method that implement mini-max algorithm to predict the optimal move.
int optimalMove = testBottomPlayer.ChooseMove(testBoardMiniMaxBottom);
Console.WriteLine("BOTTOM Player AI determined optimal board move was: {0}", optimalMove);
}
}
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/// <summary>
/// Test to see that heuristic evaluation function In jj47Player works as intended.
/// </summary>
/// <param name="debugHeuristicEvaluationFunctionTOP">enable or disable for TOP player</param>
/// <param name="debugHeuristicEvaluationFunctionBOTTOM">enable or disable for BOTTOM player</param>
private static void DebugHeuristicEvaluationFunction(bool debugHeuristicEvaluationFunctionTOP,
bool debugHeuristicEvaluationFunctionBOTTOM)
{
// Test for TOP player.
if (debugHeuristicEvaluationFunctionTOP == true)
{
// Create new game board.
Board testBoardHeuristicTop = new Board(Position.Top);
testBoardHeuristicTop.Display();
Console.WriteLine("\n\n");
// Debug - test setter for number of stones at specified position.
testBoardHeuristicTop.SetStonesAt(2, 0);
testBoardHeuristicTop.Display();
Console.WriteLine("\n\n");
if (testBoardHeuristicTop.StonesAt(2) != 0)
{
Console.WriteLine("Method setStonesAt(position) not functioning properly");
}
// Store the board value the AI determined.
int moveTopValue = -1;
//Test as TOP Player.
jj47Player testTopPlayer = new jj47Player(Position.Top, 100000);
moveTopValue = testTopPlayer.HeuristicEvaluation(testBoardHeuristicTop);
Console.WriteLine("TOP Player AI determined optimal board value was: {0}", moveTopValue);
}
// Test for BOTTOM player.
if (debugHeuristicEvaluationFunctionBOTTOM == true)
{
// Create new game board.
Board testBoardHeuristicBottom = new Board(Position.Bottom);
testBoardHeuristicBottom.Display();
Console.WriteLine("\n\n");
// Debug - test setter for number of stones at specified position.
testBoardHeuristicBottom.SetStonesAt(10, 0);
testBoardHeuristicBottom.Display();
Console.WriteLine("\n\n");
if (testBoardHeuristicBottom.StonesAt(10) != 0)
{
Console.WriteLine("Method setStonesAt(position) not functioning properly");
}
// Store the board value the AI determined.
int moveBottomValue = -1;
// Test as BOTTOM Player.
jj47Player testBottomPlayer = new jj47Player(Position.Bottom, 100000);
moveBottomValue = testBottomPlayer.HeuristicEvaluation(testBoardHeuristicBottom);
Console.WriteLine("BOTTOM Player AI determined optimal board value was: {0}", moveBottomValue);
}
}
