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

CognitiveAgentWander

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

Give the impression of a random walk through the environment targeting an ever changing pseudo-randomly point of a circumference at a given distance and with a given radius from the current node position.

Parameters

environment

the environment inside which the node moves.

pedestrian

the owner of this action.

randomGenerator

the simulation {@link RandomGenerator}.

offset

the distance from the node position of the center of the circle.

radius

the radius of the circle.

Constructors

CognitiveAgentWander

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

Properties

maxWalk

open val maxWalk: Double

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

Functions

cloneAction

open override fun cloneAction(node: Node<T>, reaction: Reaction<T>): CognitiveAgentWander<T>

This method allows to clone this action on a new node. It may result useful to support runtime creation of nodes with the same reaction programming, e.g. for morphogenesis.

execute

open override fun execute()

getContext

override fun getContext(): Context

getNextPosition

open override fun getNextPosition(): Euclidean2DPosition

getOutboundDependencies

@Nonnull

override fun getOutboundDependencies(): ListSet<out Dependency>

nextPosition

open override fun nextPosition(): Euclidean2DPosition

target