public Bomb(Agent agentParent, int id)
{
m_ID = id;
this.m_AgentParent = agentParent;
//to trace bombs parent
m_AgentIdTag = agentParent.Id;
m_World = agentParent.World;
//inherits parents position
this.m_Position = agentParent.Position;
//heading is initially 0
Heading = 0.0f;
//load model
loadContent(agentParent.World.Content, "bomb");
m_Position = agentParent.Position;
//velocity, acceleration, speed are initially zero
Velocity = Vector3.Zero;
Acceleration = Vector3.Zero;
Speed = 0.0f;
//init max speed
//?MaxSpeed = Bann.MAX_SPEED;
//lifetime initialy set to 3000 ( 3 seconds )
LifeTime = 1500;
//sensory radius will be range of bomb
/*
* |
* |
* ---o---
* |
* |
*
*/
SensoryRadius = (float)Bomb.RADIUS;
//logic to figure out what gets hit in explosion to be done
// using all objects in a range and check if they
//collide with 2 rectangles looks to be the best way
}
public Agent(Map world, int id, bool outputGenes)
: base()
{
//heading is initially 0
m_Heading = 0.0f;
//side is 90 degrees CW from heading
m_Side = m_Heading - (float)Math.PI / 2.0f;
//velocity, acceleration, speed are initially zero
m_Velocity = Vector3.Zero;
m_Acceleration = Vector3.Zero;
m_Speed = 0.0f;
m_TurnAmount = 0.0f;
//init max speed
m_MaxSpeed = MAX_SPEED;
m_AgentAdjacencyList = new List<Tuple<Agent, float, float>>();
//agent is initially inactive
m_IsActive = false;
//sensory radius for adjacent agents and pie slice
m_SensoryRadius = 400;
//do no initially output info
m_OutputAdjacentAgents = false;
m_OutputInfo = false;
m_OutputRayInfo = false;
//init agent's id
this.m_ID = id;
m_SteeringBehaviors = new SteeringBehaviors(this);
m_World = world;
m_Brain = new NeuralNetwork();
m_OutputGenes = outputGenes;
if (m_OutputGenes == true)
{
m_GeneticFile = new System.IO.StreamWriter("Agent" + Id + ".gene");
}
m_MemoryOutputs = new List<double>();
m_MemoryOutputs.Add(0);
m_MemoryOutputs.Add(0);
m_MemoryOutputs.Add(0);
m_MemoryOutputs.Add(0);
m_Fitness = 0;
//init rangefinder list
InitializeRangefinderWalls();
InitializeRangefinderBlocks();
//init pie slices
InitializePieSliceSensors();
//init node adj list
InitializeAdjacencyListNodes();
//init state is navigate
m_CurrentState = new State_Navigate();
m_NavDelay = DateTime.Now;
//begin invulnerability timer
m_Invuln = true;
m_InvulnTimer = DateTime.Now.AddSeconds(12);
// Initialize the Escape node to null to set it later
m_EscapeNode = null;
m_StartingLocation = Vector3.Up;
m_MovementSpeed = MAX_SPEED;
m_TurnSpeed = MAX_TURN_SPEED;
}
/// <summary>
///
/// </summary>
protected void InitializePlayGameTraining()
{
//instantiate a new map
m_World = new Map(Content, "Maps//Map1.ini");
//set the state to running
m_CurrentPlayGameState = PlayGameState.Running;
m_World.AverageFitness = new List<double>();
m_World.BestFitness = new List<double>();
int numWeights = ((Agent)m_World.Agents[0]).Brain.GetNumberWeights();
List<int> splitPoints = ((Agent)m_World.Agents[m_World.NumAgents - 1]).Brain.CalculateSplitPoints();
m_World.GeneticAlgorithm = new AgentGA(Params.POP_SIZE, Params.MUTATION_RATE, Params.CROSSOVER_RATE, numWeights, splitPoints);
m_World.GenomePopulation = m_World.GeneticAlgorithm.Population;
for (int i = 0; i < m_World.Agents.Count; i++)
{
((Agent)m_World.Agents[i]).Brain.PutWeights(m_World.GenomePopulation[i].Weights);
}
ResetTrainingStrings();
}
/// <summary>
///
/// </summary>
protected void InitializePlayGamePerson()
{
//create the new map
LevelGenerator LG = new LevelGenerator();
LG.genLevel();
m_World = new Map(Content, "Maps\\MapRand.ini");
m_CurrentPlayGameState = PlayGameState.Running;
//init game over flag
m_GameOverFlag = false;
m_WinFlag = false;
}
