// todo: keep track of the last generation of ants that were alive... then average out
// all of their characteristics at the end, and analyze the difference between
// the starting 10 ants and the last generation of ants
// todo: implement DISEASE factor; it's a green spot that when stepped on produces disease
// that wears down an ant's health. it can be passed on randomly to adjacent ants
// and it becomes more severe with time until the ants die.
protected override void Initialize()
{
debugMessage = "";
lastFoodSpawnTime = 0;
//seeded by time
rng = new Random((int)DateTime.Now.Ticks);
// TODO: store generations in an array in Statistics
// TODO: represent ants that are dead with a new icon
foodSpawnInterval = 10; // how many seconds before food should respawn
GRID_WIDTH = (3 * ((int)(7 * (rng.NextDouble() * .7 + .3))));
GRID_HEIGHT = (int)((2f / 3f) * GRID_WIDTH);
STARTING_ANTS = (int)((rng.NextDouble() * .15) * GRID_WIDTH * GRID_HEIGHT) + 2;
if (STARTING_ANTS > 20)
{
STARTING_ANTS = 20;
}
numberOfFoodsSpawned = (int)((rng.NextDouble() * .10) * GRID_WIDTH * GRID_HEIGHT) + 1; // how many foods made
Statistics.EXTREME_MUTATION_CHANCE = rng.NextDouble() * .5;
Statistics.runTimeInSeconds = 0;
LINE_THICKNESS = 0;
gameState = Statistics.GameState.ANTS_SCREEN;
secondsCounter = 30.0;
cursor = new SpriteSheet(Content.Load <Texture2D>("cursorSheet"), 50, 50);
cursor.SetScale(TILE_WIDTH, TILE_HEIGHT);
Statistics.birthEffects = new List <BirthEffect>();
Statistics.foodEffects = new List <FoodEffect>();
Statistics.foodFades = new List <FoodFade>();
numberOfSecondsBeforeRoundEnds = 100;
// TODO: remember to check that ALL statistics.attributes are refreshed
// TODO: have a Dictionary that returns a list of ants associated with a particular generation number
Statistics.numberOfMovements = 0;
Statistics.longestAgeLived = 0;
Statistics.largestNumberOfChildren = 0;
Statistics.largestNumberOfFoodsEaten = 0;
Statistics.topFiveAncestors = new List <Ant>();
Statistics.largestPopulation = 0;
Statistics.longestGenerationLived = 0;
Statistics.timeOfLastMovement = 0;
Statistics.systemHasMoved = false;
Statistics.totalFoods = 0;
Statistics.totalNumberOfAnts = 0;
grid = new Entity[GRID_WIDTH, GRID_HEIGHT];
SIDE_PANEL_WIDTH = (int)(graphics.GraphicsDevice.Viewport.Width * .2f);
SCREEN_WIDTH = graphics.GraphicsDevice.Viewport.Width - SIDE_PANEL_WIDTH;
SCREEN_HEIGHT = graphics.GraphicsDevice.Viewport.Height;
TILE_WIDTH = SCREEN_WIDTH / GRID_WIDTH;
TILE_HEIGHT = SCREEN_HEIGHT / GRID_HEIGHT;
attributes = new Dictionary <string, double>();
Statistics.attributeRange = new Dictionary <string, Vector2>();
attributeRange = Statistics.attributeRange;
Statistics.firstAverages = new Dictionary <string, double>();
Statistics.currentSum = new Dictionary <string, double>();
attributes["redColor"] = 100; //RGB color scheme
attributeRange["redColor"] = new Vector2(0, 255);
attributes["blueColor"] = 50;
attributeRange["blueColor"] = new Vector2(0, 255);
attributes["greenColor"] = 70;
attributeRange["greenColor"] = new Vector2(0, 255);
attributes["mutationFactor"] = .2;
attributeRange["mutationFactor"] = new Vector2(0, 1);
attributes["walkSpeed"] = 1000.0; // how many milliseconds it takes to move a single step
attributeRange["walkSpeed"] = new Vector2(100, 2000);
attributes["desireForFood"] = 100.0; // how much this ant prioritizes collecting food
attributeRange["desireForFood"] = new Vector2(-4000, 4000);
attributes["desireToFollowAnts"] = 10.0; // how much this ant is willing to follow/avoid ants
attributeRange["desireToFollowAnts"] = new Vector2(-300, 300);
attributes["desireToExplore"] = 1.0; // how much this ant is willing to explore new places
attributeRange["desireToExplore"] = new Vector2(-200, 200);
attributes["desireToMate"] = 500.0; // influenced by number of children
attributeRange["desireToMate"] = new Vector2(-600, 600);
attributes["desireToContinueInSameDirection"] = 1500.0; // prevents equal-sum scenarios
attributeRange["desireToContinueInSameDirection"] = new Vector2(-2000, 2000);
attributes["desireToGoBackwards"] = -1000.0; // prevents oscillation
attributeRange["desireToGoBackwards"] = new Vector2(-1500, 1500);
attributes["timeToReexplore"] = 10.0; // how long (seconds) an ant remembers a spot
attributeRange["timeToReexplore"] = new Vector2(1, 30);
attributes["decayFactor"] = 4.0; // analogous to the ant's sense of smell
attributeRange["decayFactor"] = new Vector2(1, 8);
attributes["healthThreshold"] = 200.0; // if another ant meets this health threshold,
// then the two will mate and produce offspring
attributeRange["healthThreshold"] = new Vector2(1, 400);
attributes["childbirthPercentage"] = 21.0; // % chance of having child when threshold met
attributeRange["childbirthPercentage"] = new Vector2(1, 100);
attributes["childbirthCost"] = 50.0; // how much the parent pays to raise child
attributeRange["childbirthCost"] = new Vector2(1, 300);
attributes["childbirthCooldown"] = 10.0; // how many seconds before having a child again
attributeRange["childbirthCooldown"] = new Vector2(5, 30);
//attributes["health"] = 150.0; // health is restored by eating food,
// and it is lowered by moving around and taking damage
//attributeRange["health"] = new Vector2(0, 300);
//attributes["strength"] = 10.0; // TODO: damage dealt in a hit to a predator. influences
// construction of buildings, too
attributes["oldestPossibleAge"] = 200.0; // number of moves this ant can make before dying
attributeRange["oldestPossibleAge"] = new Vector2(30, 400);
attributes["eyesightRange"] = 100.0; // number of tiles this ant can see
attributeRange["eyesightRange"] = new Vector2(3, 150);
//attributes["resistance"] = 5.0; // TODO: immunity to cold, poison, and disease
// also, social model vs individualistic model. social model is a shared diffusion.
//attributes["shelterShape"] = 22.0; // TODO: this number gets rounded down when used in calculation.
// base-2 representation of the truncated version is
// used. each digit represents having or not having
// a block in a certain location in a 5x5 grid.
// digit ordering as follows: (1 = first digit's block location)
// and alphabetical chars correspond to numbers beyond 9
// 22 = 10110(b2) = _
// _| shape
/* PLDEM
* KC56F
* B4127
* JA38G
* OI9HN
*/
line = new Texture2D(graphics.GraphicsDevice, 1, 1);
line.SetData(new Color[] { Color.White });
base.Initialize();
}
/// <summary>
/// Allows the game to run logic such as updating the world,
/// checking for collisions, gathering input, and playing audio.
/// </summary>
/// <param name="gameTime">Provides a snapshot of timing values.</param>
protected override void Update(GameTime gameTime)
{
// Allows the game to exit
if (GamePad.GetState(PlayerIndex.One).Buttons.Back == ButtonState.Pressed)
this.Exit();
KeyboardState keyboardState = Keyboard.GetState();
if (keyboardState.IsKeyDown(Keys.Escape))
{
Exit();
}
else if (keyboardState.IsKeyDown(Keys.Space))
{
Statistics.totalNumberOfAnts = 0;
}
if (gameState == Statistics.GameState.ANTS_SCREEN)
{
numberOfSecondsBeforeRoundEnds -= gameTime.ElapsedGameTime.TotalMilliseconds / 1000.0;
Statistics.runTimeInSeconds += gameTime.ElapsedGameTime.TotalMilliseconds / 1000.0;
if (lastFoodSpawnTime == 0 || gameTime.TotalGameTime.TotalSeconds - lastFoodSpawnTime >= foodSpawnInterval)
{
for (int i = 0; i < numberOfFoodsSpawned; i++)
{
Vector2 pos = new Vector2((int)rng.Next(GRID_WIDTH), (int)rng.Next(GRID_HEIGHT));
// don't spawn food on top of other ants or foods
if (grid[(int)pos.X, (int)pos.Y] == null)
{
grid[(int)pos.X, (int)pos.Y] = new Food(rng);
grid[(int)pos.X, (int)pos.Y].SetPosition(pos);
grid[(int)pos.X, (int)pos.Y].SetSprite(foodSprite);
Statistics.totalFoods++;
}
}
lastFoodSpawnTime = gameTime.TotalGameTime.TotalSeconds;
}
foreach (Entity e in grid)
{
if (e is Ant)
{
((Ant)e).Update(grid, gameTime, rng);
// note: update will null an ant that is dead
}
if (e != null)
{
char move = e.CreateMovement(grid, gameTime.TotalGameTime.TotalMilliseconds);
MoveInDirection(e, move);
}
}
if (Statistics.totalNumberOfAnts == 0 ||
(Math.Abs(gameTime.TotalGameTime.TotalSeconds - Statistics.timeOfLastMovement) > 30 && Statistics.systemHasMoved))
{
// if there have been 30 seconds w/o movement, then end
gameState = Statistics.GameState.STATISTICS_SCREEN;
}
}
base.Update(gameTime);
}
/// <summary>
/// Allows the game to run logic such as updating the world,
/// checking for collisions, gathering input, and playing audio.
/// </summary>
/// <param name="gameTime">Provides a snapshot of timing values.</param>
protected override void Update(GameTime gameTime)
{
// Allows the game to exit
if (GamePad.GetState(PlayerIndex.One).Buttons.Back == ButtonState.Pressed)
{
this.Exit();
}
KeyboardState keyboardState = Keyboard.GetState();
if (keyboardState.IsKeyDown(Keys.Escape))
{
Exit();
}
else if (keyboardState.IsKeyDown(Keys.Space))
{
Statistics.totalNumberOfAnts = 0;
}
if (gameState == Statistics.GameState.ANTS_SCREEN)
{
numberOfSecondsBeforeRoundEnds -= gameTime.ElapsedGameTime.TotalMilliseconds / 1000.0;
Statistics.runTimeInSeconds += gameTime.ElapsedGameTime.TotalMilliseconds / 1000.0;
if (lastFoodSpawnTime == 0 || gameTime.TotalGameTime.TotalSeconds - lastFoodSpawnTime >= foodSpawnInterval)
{
for (int i = 0; i < numberOfFoodsSpawned; i++)
{
Vector2 pos = new Vector2((int)rng.Next(GRID_WIDTH), (int)rng.Next(GRID_HEIGHT));
// don't spawn food on top of other ants or foods
if (grid[(int)pos.X, (int)pos.Y] == null)
{
grid[(int)pos.X, (int)pos.Y] = new Food(rng);
grid[(int)pos.X, (int)pos.Y].SetPosition(pos);
grid[(int)pos.X, (int)pos.Y].SetSprite(foodSprite);
Statistics.totalFoods++;
}
}
lastFoodSpawnTime = gameTime.TotalGameTime.TotalSeconds;
}
foreach (Entity e in grid)
{
if (e is Ant)
{
((Ant)e).Update(grid, gameTime, rng);
// note: update will null an ant that is dead
}
if (e != null)
{
char move = e.CreateMovement(grid, gameTime.TotalGameTime.TotalMilliseconds);
MoveInDirection(e, move);
}
}
if (Statistics.totalNumberOfAnts == 0 ||
(Math.Abs(gameTime.TotalGameTime.TotalSeconds - Statistics.timeOfLastMovement) > 30 && Statistics.systemHasMoved))
{
// if there have been 30 seconds w/o movement, then end
gameState = Statistics.GameState.STATISTICS_SCREEN;
}
}
base.Update(gameTime);
}
// todo: keep track of the last generation of ants that were alive... then average out
// all of their characteristics at the end, and analyze the difference between
// the starting 10 ants and the last generation of ants
// todo: implement DISEASE factor; it's a green spot that when stepped on produces disease
// that wears down an ant's health. it can be passed on randomly to adjacent ants
// and it becomes more severe with time until the ants die.
protected override void Initialize()
{
debugMessage = "";
lastFoodSpawnTime = 0;
//seeded by time
rng = new Random((int)DateTime.Now.Ticks);
// TODO: store generations in an array in Statistics
// TODO: represent ants that are dead with a new icon
foodSpawnInterval = 10; // how many seconds before food should respawn
GRID_WIDTH = (3 * ((int) (7* (rng.NextDouble() * .7 + .3))));
GRID_HEIGHT = (int)((2f/3f)*GRID_WIDTH);
STARTING_ANTS = (int)((rng.NextDouble()*.15)*GRID_WIDTH*GRID_HEIGHT) + 2;
if (STARTING_ANTS > 20) STARTING_ANTS = 20;
numberOfFoodsSpawned = (int)((rng.NextDouble()*.10)*GRID_WIDTH*GRID_HEIGHT)+1; // how many foods made
Statistics.EXTREME_MUTATION_CHANCE = rng.NextDouble() * .5;
Statistics.runTimeInSeconds = 0;
LINE_THICKNESS = 0;
gameState = Statistics.GameState.ANTS_SCREEN;
secondsCounter = 30.0;
cursor = new SpriteSheet(Content.Load<Texture2D>("cursorSheet"), 50, 50);
cursor.SetScale(TILE_WIDTH, TILE_HEIGHT);
Statistics.birthEffects = new List<BirthEffect>();
Statistics.foodEffects = new List<FoodEffect>();
Statistics.foodFades = new List<FoodFade>();
numberOfSecondsBeforeRoundEnds = 100;
// TODO: remember to check that ALL statistics.attributes are refreshed
// TODO: have a Dictionary that returns a list of ants associated with a particular generation number
Statistics.numberOfMovements = 0;
Statistics.longestAgeLived = 0;
Statistics.largestNumberOfChildren = 0;
Statistics.largestNumberOfFoodsEaten = 0;
Statistics.topFiveAncestors = new List<Ant>();
Statistics.largestPopulation = 0;
Statistics.longestGenerationLived = 0;
Statistics.timeOfLastMovement = 0;
Statistics.systemHasMoved = false;
Statistics.totalFoods = 0;
Statistics.totalNumberOfAnts = 0;
grid = new Entity[GRID_WIDTH, GRID_HEIGHT];
SIDE_PANEL_WIDTH = (int) (graphics.GraphicsDevice.Viewport.Width * .2f);
SCREEN_WIDTH = graphics.GraphicsDevice.Viewport.Width - SIDE_PANEL_WIDTH;
SCREEN_HEIGHT = graphics.GraphicsDevice.Viewport.Height;
TILE_WIDTH = SCREEN_WIDTH / GRID_WIDTH;
TILE_HEIGHT = SCREEN_HEIGHT / GRID_HEIGHT;
attributes = new Dictionary<string, double>();
Statistics.attributeRange = new Dictionary<string, Vector2>();
attributeRange = Statistics.attributeRange;
Statistics.firstAverages = new Dictionary<string, double>();
Statistics.currentSum = new Dictionary<string, double>();
attributes["redColor"] = 100; //RGB color scheme
attributeRange["redColor"] = new Vector2(0, 255);
attributes["blueColor"] = 50;
attributeRange["blueColor"] = new Vector2(0, 255);
attributes["greenColor"] = 70;
attributeRange["greenColor"] = new Vector2(0, 255);
attributes["mutationFactor"] = .2;
attributeRange["mutationFactor"] = new Vector2(0, 1);
attributes["walkSpeed"] = 1000.0; // how many milliseconds it takes to move a single step
attributeRange["walkSpeed"] = new Vector2(100, 2000);
attributes["desireForFood"] = 100.0; // how much this ant prioritizes collecting food
attributeRange["desireForFood"] = new Vector2(-4000, 4000);
attributes["desireToFollowAnts"] = 10.0; // how much this ant is willing to follow/avoid ants
attributeRange["desireToFollowAnts"] = new Vector2(-300, 300);
attributes["desireToExplore"] = 1.0; // how much this ant is willing to explore new places
attributeRange["desireToExplore"] = new Vector2(-200, 200);
attributes["desireToMate"] = 500.0; // influenced by number of children
attributeRange["desireToMate"] = new Vector2(-600, 600);
attributes["desireToContinueInSameDirection"] = 1500.0; // prevents equal-sum scenarios
attributeRange["desireToContinueInSameDirection"] = new Vector2(-2000, 2000);
attributes["desireToGoBackwards"] = -1000.0; // prevents oscillation
attributeRange["desireToGoBackwards"] = new Vector2(-1500, 1500);
attributes["timeToReexplore"] = 10.0; // how long (seconds) an ant remembers a spot
attributeRange["timeToReexplore"] = new Vector2(1, 30);
attributes["decayFactor"] = 4.0; // analogous to the ant's sense of smell
attributeRange["decayFactor"] = new Vector2(1, 8);
attributes["healthThreshold"] = 200.0; // if another ant meets this health threshold,
// then the two will mate and produce offspring
attributeRange["healthThreshold"] = new Vector2(1, 400);
attributes["childbirthPercentage"] = 21.0; // % chance of having child when threshold met
attributeRange["childbirthPercentage"] = new Vector2(1, 100);
attributes["childbirthCost"] = 50.0; // how much the parent pays to raise child
attributeRange["childbirthCost"] = new Vector2(1, 300);
attributes["childbirthCooldown"] = 10.0; // how many seconds before having a child again
attributeRange["childbirthCooldown"] = new Vector2(5, 30);
//attributes["health"] = 150.0; // health is restored by eating food,
// and it is lowered by moving around and taking damage
//attributeRange["health"] = new Vector2(0, 300);
//attributes["strength"] = 10.0; // TODO: damage dealt in a hit to a predator. influences
// construction of buildings, too
attributes["oldestPossibleAge"] = 200.0; // number of moves this ant can make before dying
attributeRange["oldestPossibleAge"] = new Vector2(30, 400);
attributes["eyesightRange"] = 100.0; // number of tiles this ant can see
attributeRange["eyesightRange"] = new Vector2(3, 150);
//attributes["resistance"] = 5.0; // TODO: immunity to cold, poison, and disease
// also, social model vs individualistic model. social model is a shared diffusion.
//attributes["shelterShape"] = 22.0; // TODO: this number gets rounded down when used in calculation.
// base-2 representation of the truncated version is
// used. each digit represents having or not having
// a block in a certain location in a 5x5 grid.
// digit ordering as follows: (1 = first digit's block location)
// and alphabetical chars correspond to numbers beyond 9
// 22 = 10110(b2) = _
// _| shape
/* PLDEM
* KC56F
* B4127
* JA38G
* OI9HN
*/
line = new Texture2D(graphics.GraphicsDevice, 1, 1);
line.SetData(new Color[] { Color.White });
base.Initialize();
}