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

AbstractSteeringActionWithTarget

abstract class AbstractSteeringActionWithTarget<T, P : Position<P>, Vector<P>, A : Transformation<P>>(environment: Environment<T, P>, reaction: Reaction<T>, pedestrian: PedestrianProperty<T>, targetSelectionStrategy: TargetSelectionStrategy<T, P>) : AbstractSteeringAction<T, P, A> , SteeringActionWithTarget<T, P> (source)

A SteeringActionWithTarget in a vector space.

Parameters

environment
the environment inside which the node moves.
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pedestrian
the owner of this action.
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targetSelectionStrategy
strategy selecting the next target.
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Inheritors

Constructors

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constructor(environment: Environment<T, P>, reaction: Reaction<T>, pedestrian: PedestrianProperty<T>, target: P)
constructor(environment: Environment<T, P>, reaction: Reaction<T>, pedestrian: PedestrianProperty<T>, targetSelectionStrategy: TargetSelectionStrategy<T, P>)

Properties

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open val maxWalk: Double

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

Functions

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abstract override fun cloneAction(node: Node<T>, reaction: Reaction<T>): AbstractSteeringAction<T, P, A>

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.

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open override fun execute()
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override fun getContext(): Context
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open override fun getNextPosition(): P
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@Nonnull
override fun getOutboundDependencies(): ListSet<out Dependency>
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open override fun nextPosition(): P
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open override fun target(): P

The position the owner of this action moves towards, in absolute coordinates.

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

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

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open override fun toString(): String