alchemist/it.unibo.alchemist.model.cognitive.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.

pedestrian

the owner of this action.

targetMolecule

the molecule whose concentration defines the scalar field to follow.

Constructors

CognitiveAgentFollowLayer

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

Properties

override val context: Context?

open val maxWalk: Double

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

open override val nextPosition: Euclidean2DPosition

outboundDependencies

override val outboundDependencies: ListSet<out Dependency?>

Functions

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.

open fun execute()

fun getContext(): Context?

getNextPosition

open override fun getNextPosition(): Euclidean2DPosition

getOutboundDependencies

fun getOutboundDependencies(): ListSet<out Dependency?>

open override fun nextPosition(): Euclidean2DPosition

Returns the target relative position the owner will move to when this action is executed. The position is relative to the owner's current position.

infix fun Action<*>.shouldEqual(other: Action<*>)