alchemist-cognitive-agents/it.unibo.alchemist.model.cognitive.actions/CognitiveAgentWander

CognitiveAgentWander

open class CognitiveAgentWander<T>(val environment: Physics2DEnvironment<T>, reaction: NodeReaction<T>, pedestrian: PedestrianProperty<T>, randomGenerator: RandomGenerator, offset: Double, radius: Double) : AbstractSteeringActionWithTarget<T, Euclidean2DPosition, Euclidean2DTransformation> (source)

Produces a wandering steering action that simulates a random walk by targeting points on a circle centered at a given offset from the node and with a given radius.

The node's heading is set randomly and subsequent target points are chosen on a circumference around the heading with the specified offset and radius. The resulting target is constrained by the node's maximum walking distance.

Parameters

reaction

the reaction executing this action.

pedestrian

the owner of this action.

Type Parameters

T

the concentration type.

Constructors

CognitiveAgentWander

constructor(environment: Physics2DEnvironment<T>, reaction: NodeReaction<T>, pedestrian: PedestrianProperty<T>, randomGenerator: RandomGenerator, offset: Double, radius: Double)

Properties

open override val environment: Physics2DEnvironment<T>

the physics environment in which the node moves.

open val maxWalk: Double

The maximum distance the node can walk, this is a length.

override val reaction: NodeReaction<T>

val targetNode: Node<T>

Functions

override fun cloneAction(newReaction: Reaction<T>): Action<T>

open override fun execute()

getNextPosition

open override fun getNextPosition(): Euclidean2DPosition

open override fun nextPosition(): Euclidean2DPosition

open override fun target(): Euclidean2DPosition

Returns the absolute target position this action points to.

targetDistanceTo

open fun targetDistanceTo(node: Node<T>, environment: Environment<T, Euclidean2DPosition>): Double

Computes the distance between this action's target and the given node within the provided environment.

open override fun toString(): String