public TheoricalSituation(DynamicManager2D dynamicManager, Structure2D structure, List <IDecidable> decisionMakers, List <Particle2D> particles, float executionTime)
{
this.dynamicManager = dynamicManager;
this.structure = structure;
this.decisionMakers = decisionMakers;
this.particles = particles;
this.executionTime = executionTime;
setup();
}
public static void Main(String[] args)
{
///Experimental
//Random random = new Random();
////RandomManhattanLattice2D manhattanLattice = new RandomManhattanLattice2D(1, 200, 200, random);
//RegularManhattanLattice2D manhattanLattice = new RegularManhattanLattice2D(1, 20, 20, 0, 0);
//DrunkMind decisionMaker = new DrunkMind(random);
//Position initialPosition = new Position() { x = 0, y = 0 };
//List<IDecidable> decisionMakers = new List<IDecidable>();
//List<Position> particlesInitialPositions = new List<Position>();
//List<float> dts = new List<float>();
//decisionMakers.Add(decisionMaker);
//particlesInitialPositions.Add(initialPosition);
//dts.Add(1);
//IParticleFactory particlesFactory = new WalkerFactory(particlesInitialPositions, dts);
//SimpleDynamicSituationFactory sdsFactory = new SimpleDynamicSituationFactory(manhattanLattice, particlesFactory, decisionMakers, 20);
//List<ID> monitoredElement = new List<ID>();
//monitoredElement.Add(new ID { type = ElementType.Particle, number = 0 });
//StatFinalPosition statModul = new StatFinalPosition(monitoredElement, "RegularML");
//Sequencer experiment = new Sequencer(statModul, sdsFactory);
//experiment.Run(100000);
/// Theorie
Random random = new Random();
DynamicManager2D dynamicManager = new DynamicManager2D();
RegularManhattanLattice2D manhattanLattice = new RegularManhattanLattice2D(dynamicManager.GetNewStructureID(), 20, 20, 0, 0);
DrunkMind decisionMaker = new DrunkMind(random);
Position position = new Position()
{
x = 0, y = 0
};
TheoricalParticle2D theoricalParticle = new TheoricalWalker(dynamicManager, dynamicManager.GetNewParticleID(), manhattanLattice, decisionMaker, 1, position, 1);
List <IDecidable> decisionMakers = new List <IDecidable>();
List <Particle2D> particles = new List <Particle2D>();
decisionMakers.Add(decisionMaker);
particles.Add(theoricalParticle);
TheoricalSituation theoricalSituation = new TheoricalSituation(dynamicManager, manhattanLattice, decisionMakers, particles, 20);
StatTool theorieManager = new TheoricalProbability(theoricalSituation, "TheoricalRML");
theorieManager.setup();
theoricalSituation.Play();
theorieManager.computeResult();
}
public DynamicSituation CreateSituation()
{
DynamicManager2D dynamicManager = new DynamicManager2D();
List <IDecidable> duplicateDecisionMakers = new List <IDecidable>();
foreach (IDecidable decisionMaker in decisionMakers)
{
duplicateDecisionMakers.Add(decisionMaker.Duplicate());
}
List <Particle2D> particles = particlesFactory.CreateParticles(structure, duplicateDecisionMakers);
return(new SimpleDynamicSituation(dynamicManager, structure.Duplicate(), particles, duplicateDecisionMakers, executionTime));
}
public TheoricalWalker(DynamicManager2D dynamicManager, int elementIDNumber, Structure2D structure, IDecidable decisionMaker, double probability, Position position = new Position(), float dt = 1)
{
elementID = new ID {
type = ElementType.Particle, number = elementIDNumber
};
this.dynamicManager = dynamicManager;
this.structure = structure;
this.decisionMaker = decisionMaker;
this.probability = probability;
this.position = position;
this.dt = dt;
}