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

CognitiveAgentAvoidLayer

class CognitiveAgentAvoidLayer @JvmOverloads constructor(environment: Euclidean2DEnvironment<Number>, reaction: Reaction<Number>, pedestrian: PedestrianProperty<Number>, targetMolecule: Molecule, viewDepth: Double = Double.POSITIVE_INFINITY) : AbstractLayerAction(source)

Move the node towards positions of the environment with a low concentration of the target molecule.

Parameters

environment

the environment inside which the node moves.

reaction

the reaction which executes this action.

pedestrian

the owner of this action.

targetMolecule

the {@link Molecule} you want to know the concentration in the different positions of the environment.

viewDepth

the depth of view of the node, defaults to infinity.

Constructors

CognitiveAgentAvoidLayer

@JvmOverloads

constructor(environment: Euclidean2DEnvironment<Number>, reaction: Reaction<Number>, pedestrian: PedestrianProperty<Number>, targetMolecule: Molecule, viewDepth: Double = Double.POSITIVE_INFINITY)

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<Number>, reaction: Reaction<Number>): CognitiveAgentAvoidLayer

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

toString

open override fun toString(): String