alchemist-cognitive-agents/it.unibo.alchemist.model.cognitive.steering/DistanceWeighted

DistanceWeighted

class DistanceWeighted<T>(environment: Euclidean2DEnvironment<T>, node: Node<T>, defaultWeight: Double = 1.0) : Weighted<T> (source)

Weighted steering strategy where each steering action's weight is the inverse of the node's distance to the action's target. Closer targets yield higher weight. Actions without a target receive defaultWeight.

Parameters

environment

the environment in which the node moves.

node

the owner of the steering action this strategy belongs to.

defaultWeight

default weight for steering actions without a defined target.

Type Parameters

the concentration type.

Constructors

DistanceWeighted

constructor(environment: Euclidean2DEnvironment<T>, node: Node<T>, defaultWeight: Double = 1.0)

Functions

computeNextPosition

open override fun computeNextPosition(actions: List<SteeringAction<T, Euclidean2DPosition>>): Euclidean2DPosition

actions are partitioned in group steering actions and non-group steering actions. The overall next position for each of these two sets of actions is computed via weighted sum. The resulting vectors are then summed together (with unitary weight).

computeTarget

open override fun computeTarget(actions: List<SteeringAction<T, Euclidean2DPosition>>): Euclidean2DPosition

If there's no SteeringActionWithTarget among the provided actions, a zero vector is returned. Otherwise, the closest target is picked.