alchemist-cognitive-agents/it.unibo.alchemist.model.implementations.actions/CognitiveAgentFollowLayer

CognitiveAgentFollowLayer

open class CognitiveAgentFollowLayer( euclidean: Euclidean2DEnvironment<Number>, reaction: Reaction<Number>, pedestrian: PedestrianProperty<Number>, targetMolecule: Molecule) : AbstractLayerAction

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

Parameters

euclidean

    the environment inside which the node moves.

reaction

    the reaction which executes this action.

node

    the owner of this action.

targetMolecule

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

Constructors

CognitiveAgentFollowLayer

fun CognitiveAgentFollowLayer( euclidean: Euclidean2DEnvironment<Number>, reaction: Reaction<Number>, pedestrian: PedestrianProperty<Number>, targetMolecule: Molecule)

Functions

cloneAction

open override fun cloneAction(node: Node<Number>, reaction: Reaction<Number>): CognitiveAgentFollowLayer

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

override fun getOutboundDependencies(): ListSet<out Dependency>

nextPosition

open override fun nextPosition(): Euclidean2DPosition

The position the owner of this action moves to when it is executed, in relative coordinates with respect to its current position.

toString

open override fun toString(): String

Properties

maxWalk

open val maxWalk: Double

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