public Position offset = new Position(); //Position offset in pixels for use when drawing the bitmap
//END GLOBALS------------------------------------------------------------------------------------
/// <summary>
/// Developer: Anthony Harris
/// Function Name: InitializeData()
/// Parameters: None
/// Returns: None
/// Description: Iterates through the JSON map file and defines the starting
/// points for each entity, initializes the neural network data,
/// and initializes the entities.
/// Last Modified: 02 October 2019
/// Modification: Successfully implemented logic to initialize the Edges of the
/// neural networks.
/// </summary>
private void InitializeData()
{
worldState = WorldState.GameInProgress;
startTime = DateTime.Now;
currentTime = startTime;
currentWinBonus = Player.baseFitness;
xMapBlock = 0;
yMapBlock = 0;
for (int index = 0; index < terrainMapN.Length; ++index)
{
int pass; //To be passed to the TileType function
//If the current char at terrainMapN[index] can be parsed as an int, then step in
if (int.TryParse(terrainMapN[index].ToString(), out pass))
{
//Call the function to define the type of tile
TileType(pass);
}
}
if (firstTime)
{
List <List <Edge> > tempEdges = new List <List <Edge> >()
{
new List <Edge>(), new List <Edge>()
};
List <int> outputLayer = new List <int>();
//Create the edges of the neural networks to be used
int inLayerId;
int outLayerId;
//The following is for when you use the entire map as an input.
//for (int x = 0; x < WIDTH_IN_TILES; ++x)
//{
// for (int y = 0; y < HEIGHT_IN_TILES; ++y)
// {
// for (int z = 0; z < MapBlock.numOfStates; ++z)
// {
// inputLayer.Add(inLayerId);
// for (int command = (int)ControlCommand.NONE; command < (int)ControlCommand.FINAL_UNUSED; ++command)
// {
// outLayerId = WIDTH_IN_TILES * HEIGHT_IN_TILES * MapBlock.numOfStates + command + 1;
// tempEdges.Add(new Edge(inLayerId, outLayerId, 1, 0));
// }
// inLayerId++;
// }
// }
//}
//The following is for when you use the tankDegreeToTarget and turretDegreeToTarget
//distanceToTarget attributes of player as inputs
Random rng = new Random();
for (int playerCounter = 0; playerCounter < 2; ++playerCounter)
{
inLayerId = 0;
for (int i = 0; i < Player.NUM_OF_INPUTS; ++i)
{
for (int command = (int)ControlCommand.NONE; command < (int)ControlCommand.FINAL_UNUSED; ++command)
{
outLayerId = Player.NUM_OF_INPUTS + command;
tempEdges[playerCounter].Add(new Edge(inLayerId, outLayerId, rng.NextDouble(), rng.NextDouble()));
if (!outputLayer.Contains(outLayerId))
{
outputLayer.Add(outLayerId);
}
}
inLayerId++;
}
}
red.organism.botBrain = new NeuralNetwork(tempEdges[0], Player.NUM_OF_INPUTS + (int)ControlCommand.FINAL_UNUSED, outputLayer);
blue.organism.botBrain = new NeuralNetwork(tempEdges[1], Player.NUM_OF_INPUTS + (int)ControlCommand.FINAL_UNUSED, outputLayer);
}
//Initialize the players
red.reset(MAX_INPUT_VALUES);
blue.reset(MAX_INPUT_VALUES);
red.playerController(ControlCommand.NONE, ControlCommand.Right);
blue.playerController(ControlCommand.NONE, ControlCommand.Left);
red.updatePlayer(mapBlocks);
blue.updatePlayer(mapBlocks);
red.calcDegreeAndDistanceToTarget(blue, MAX_INPUT_VALUES);
blue.calcDegreeAndDistanceToTarget(red, MAX_INPUT_VALUES);
}
