public static void InterpretOutput(ThinkingAgent agent, IWorld world, Vector2D output)
{
var centerOfGravity =
world.Sheep.Select(x => x.Position).Center();
var vCentered = new Vector2D(
centerOfGravity.X - agent.Position.X,
centerOfGravity.Y - agent.Position.Y);
var vCenteredLength = vCentered.Length;
var sin = vCentered.Y / vCenteredLength;
var cos = vCentered.X / vCenteredLength;
if (double.IsNaN(sin))
{
sin = 0.0;
}
if (double.IsNaN(cos))
{
cos = 1.0;
}
var vRotated = new Vector2D(
output.X * cos - output.Y * sin,
output.X * sin + output.Y * cos);
agent.decision = vRotated;
agent.Move();
}
public static double[] ExtractFeatures(IWorld world, ThinkingAgent agent)
{
var centerOfGravity =
world.Sheep.Select(x => x.Position).Center();
var closestAgents =
Finder.FindClosestAgents(agent, agent.NumberOfSeenShepherds, world.Shepherds.Members)
.Concat(Finder.FindClosestAgents(agent, agent.NumberOfSeenSheep, world.Sheep));
var closestAgentsInRelativeCoordinationSystem = closestAgents
.Select(x => x.Position.PositionInRelativeCoordinationSystem(agent.Position, centerOfGravity)).ToList();
var features = new double[closestAgentsInRelativeCoordinationSystem.Count * 2 + 2];
features[0] = TransformPerception(0.0);
features[1] = TransformPerception(agent.Position.Distance(centerOfGravity));
if (double.IsNaN(features[1]))
{
features[1] = 0.0f;
}
for (int i = 0; i < closestAgentsInRelativeCoordinationSystem.Count; i++)
{
features[2 + 2 * i] = TransformPerception(closestAgentsInRelativeCoordinationSystem[i].X);
features[2 + 2 * i + 1] = TransformPerception(closestAgentsInRelativeCoordinationSystem[i].Y);
}
return(features);
}
