int Game()
{
List <Player> Players = new List <Player>();
Players.Add(new Player(1, true));
Players.Add(new Player(2, false));
Players[0].Leading = true; //Set Player One to lead trick
List <Card> deck = Deal.CreateDeck();
Decision.SetTrumps(deck, 3); //Set Spades as Trump
Deal.DealToPlayers(Players, deck);
Decision.DecideBids(Players);
//Record Player 1 Hand
HandRecord handRecord = Record.RecordHandInit(Players.FirstOrDefault(x => x.ID == 1));
//Write out bids
WriteBids(Players);
//Write out Hands
WriteHands(Players);
for (int i = 1; i < 11; i++)
{
Console.WriteLine("Game " + i);
Decision.DecideCardToPlay(Players);
Decision.PlayCard(Players, true);
}
//Work out wins
foreach (Player player in Players)
{
Console.WriteLine("Player Wins: " + player.Wins + " Bid: " + player.Bid);
}
//Record if PlayerOne was successful
if (Players.FirstOrDefault(x => x.ID == 1).Wins == Players.FirstOrDefault(x => x.ID == 1).Bid)
{
handRecord.GameWon = 1;
}
CSVWriter.WriteHandResult(handRecord);
return(handRecord.GameWon);
}
void Parser()
{
Console.WriteLine("Command:");
String input = Console.ReadLine();
if (input.ToLower() == "neural network init") // Neural Network
{
Console.WriteLine("Certain:");
input = Console.ReadLine();
if (input.ToLower() == "yes") // Neural Network
{
//New Neural Network
List <int> NNLayers = new List <int>();
NNLayers.Add(52);
NNLayers.Add(52);
NNLayers.Add(52);
NeuralNetwork NewNeuralNetwork = new NeuralNetwork(NNLayers.ToArray());
NewNeuralNetwork.Save(NewNeuralNetwork);
}
}
else if (input.ToLower() == "test random") // Neural Network
{
TotalWins = 0;
TotalGames = 0;
int NumberOfRuns = 20;
//Existing Neural Network Test
NeuralNetwork neuralNetwork = new NeuralNetwork();
neuralNetwork = neuralNetwork.Load();
Program prog = new Program();
for (int i = 0; i < NumberOfRuns; i++)
{
List <Card> deck = Deal.CreateDeck();
TotalWins += prog.GameNNTrainToWin(neuralNetwork, deck);
TotalGames += 10;
}
;
Console.WriteLine("");
Console.WriteLine("Total Wins: " + TotalWins + " Total Games: " + TotalGames);
neuralNetwork.fitness = (float)(TotalWins / TotalGames);
}
else if (input.ToLower() == "test neural network" || input.ToLower() == "test nn") // Neural Network
{
TotalWins = 0;
TotalGames = 0;
int NumberOfRuns = 20;
//Random Neural Network Test
List <int> NNLayers = new List <int>();
NNLayers.Add(52);
NeuralNetwork NewNeuralNetwork = new NeuralNetwork(NNLayers.ToArray());
Program prog = new Program();
for (int i = 0; i < NumberOfRuns; i++)
{
List <Card> deck = Deal.CreateDeck();
TotalWins += prog.GameNNTrainToWin(NewNeuralNetwork, deck);
TotalGames += 10;
}
;
Console.WriteLine("");
Console.WriteLine("Total Wins: " + TotalWins + " Total Games: " + TotalGames);
}
else if (input.ToLower() == "neural network engage" || input.ToLower() == "run nn") // Neural Network
{
Console.WriteLine("Number of Generations");
input = Console.ReadLine();
int NumberOfGenerations = 0;
Console.WriteLine("Number of Runs");
string inputTwo = Console.ReadLine();
int NumberOfRuns = 0;
if (int.TryParse(input, out NumberOfGenerations) && int.TryParse(inputTwo, out NumberOfRuns))
{
for (int j = 0; j < NumberOfGenerations; j++)
{
List <List <Card> > decks = new List <List <Card> >();
List <List <Card> > decksTwo = new List <List <Card> >();
//Create Deck List for NN to compete with
for (int i = 0; i < NumberOfRuns; i++)
{
List <Card> deck = Deal.CreateDeckNN();
decks.Add(deck);
List <Card> deckCopy = new List <Card>();
foreach (Card card in deck)
{
deckCopy.Add(card.Clone());
}
decksTwo.Add(deckCopy);
}
TotalWins = 0;
TotalGames = 0;
//New Neural Network
List <int> NNLayers = new List <int>();
NNLayers.Add(52);
NNLayers.Add(52);
NNLayers.Add(52);
NNLayers.Add(52);
NeuralNetwork NewNeuralNetwork = new NeuralNetwork(NNLayers.ToArray());
//Existing Neural Network Test
NeuralNetwork neuralNetwork = new NeuralNetwork();
neuralNetwork = neuralNetwork.Load();
CompareNN(neuralNetwork, NewNeuralNetwork, NumberOfRuns, decks, decksTwo);
if (NewNeuralNetwork.fitness > neuralNetwork.fitness)
{
Console.WriteLine("Old Fitness: " + neuralNetwork.fitness + " New Fitness: " + NewNeuralNetwork.fitness);
Console.WriteLine("Comparing");
NewNeuralNetwork.Save(NewNeuralNetwork);
Console.WriteLine("OVERWRITE");
}
}
}
}
if (input.ToLower() == "run")
{
TotalWins = 0;
TotalGames = 0;
Console.WriteLine("How many runs:");
input = Console.ReadLine();
int NumberOfRuns = 0;
if (int.TryParse(input, out NumberOfRuns))
{
for (int i = 0; i < NumberOfRuns; i++)
{
Program prog = new Program();
TotalWins += prog.Game();
TotalGames++;
}
}
else
{
Console.WriteLine("Invalid input");
}
Console.WriteLine("");
Console.WriteLine("Win Rate:" + Math.Round(((TotalWins / TotalGames) * 100), 2).ToString() + "%");
}
else if (input.ToLower() == "exit" || input.ToLower() == "quit")
{
System.Environment.Exit(1);
}
Parser();
}