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>

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

the concentration type.

Constructors

CognitiveAgentWander

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

Properties

context

override val context: Context?

maxWalk

open val maxWalk: Double

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

nextPosition

open override val nextPosition: Euclidean2DPosition

outboundDependencies

@get:Nonnull

override val outboundDependencies: ListSet<out Dependency?>

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 fun execute()

getContext