it.unibo.alchemist.model.cognitive.actions.CognitiveAgentWander.kt Maven / Gradle / Ivy
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Abstraction for group of pedestrians capable of influence each other emotionally.
/*
* Copyright (C) 2010-2023, Danilo Pianini and contributors
* listed, for each module, in the respective subproject's build.gradle.kts file.
*
* This file is part of Alchemist, and is distributed under the terms of the
* GNU General Public License, with a linking exception,
* as described in the file LICENSE in the Alchemist distribution's top directory.
*/
package it.unibo.alchemist.model.cognitive.actions
import it.unibo.alchemist.model.Environment
import it.unibo.alchemist.model.Node
import it.unibo.alchemist.model.Position2D
import it.unibo.alchemist.model.Reaction
import it.unibo.alchemist.model.cognitive.PedestrianProperty
import it.unibo.alchemist.model.geometry.Euclidean2DTransformation
import it.unibo.alchemist.model.geometry.Vector2D
import it.unibo.alchemist.model.movestrategies.TargetSelectionStrategy
import it.unibo.alchemist.model.physics.environments.Physics2DEnvironment
import it.unibo.alchemist.model.positions.Euclidean2DPosition
import it.unibo.alchemist.util.Iterables.randomElement
import it.unibo.alchemist.util.RandomGenerators.nextDouble
import org.apache.commons.math3.random.RandomGenerator
/**
* Give the impression of a random walk through the environment targeting an ever changing pseudo-randomly point
* of a circumference at a given distance and with a given radius from the current node position.
*
* @param environment
* the environment inside which the node moves.
* @param pedestrian
* the owner of this action.
* @param randomGenerator
* the simulation {@link RandomGenerator}.
* @param offset
* the distance from the node position of the center of the circle.
* @param radius
* the radius of the circle.
*/
open class CognitiveAgentWander(
private val environment: Physics2DEnvironment,
reaction: Reaction,
override val pedestrian: PedestrianProperty,
protected val randomGenerator: RandomGenerator,
protected val offset: Double,
protected val radius: Double,
) : AbstractSteeringActionWithTarget(
environment,
reaction,
pedestrian,
TargetSelectionStrategy {
randomGenerator.position(
environment,
)
},
) {
private val heading by lazy {
environment.setHeading(node, randomGenerator.random2DVersor(environment));
{ environment.getHeading(node) }
}
override fun nextPosition(): Euclidean2DPosition = heading()
.resized(offset)
.surrounding(radius)
.randomElement(randomGenerator)
.coerceAtMost(maxWalk)
override fun cloneAction(node: Node, reaction: Reaction) =
CognitiveAgentWander(environment, reaction, node.pedestrianProperty, randomGenerator, offset, radius)
}
/**
* Generate a random Euclidean position.
*/
private fun RandomGenerator.position(environment: Environment<*, Euclidean2DPosition>) =
random2DVersor(environment).let {
val distance = nextInt()
Euclidean2DPosition(it.x * distance, it.y * distance)
}
/**
* Generate a random Euclidean direction.
*/
private fun RandomGenerator.random2DVersor(environment: Environment<*, V>): V
where V : Vector2D, V : Position2D =
environment.makePosition(nextDouble(-1.0, 1.0), nextDouble(-1.0, 1.0))