it.unibo.alchemist.model.cognitive.actions.CognitiveAgentCombineSteering.kt Maven / Gradle / Ivy

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Abstraction for group of pedestrians capable of influence each other emotionally.

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/*
 * 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.Position
import it.unibo.alchemist.model.Reaction
import it.unibo.alchemist.model.cognitive.PedestrianProperty
import it.unibo.alchemist.model.cognitive.SteeringAction
import it.unibo.alchemist.model.cognitive.SteeringStrategy
import it.unibo.alchemist.model.geometry.Transformation
import it.unibo.alchemist.model.geometry.Vector

/**
 * Combination of multiple steering actions.
 *
 * @param environment
 *          the environment inside which the node moves.
 * @param pedestrian
 *          the owner of this action.
 * @param actions
 *          the list of actions to combine to determine the node movement.
 * @param steerStrategy
 *          the logic according to the steering actions are combined.
 */
class CognitiveAgentCombineSteering(
    environment: Environment,
    reaction: Reaction,
    override val pedestrian: PedestrianProperty,
    private val actions: List>,
    private val steerStrategy: SteeringStrategy,
) : AbstractSteeringAction(environment, reaction, pedestrian)
    where P : Position, P : Vector
,
          A : Transformation {

    override fun cloneAction(node: Node, reaction: Reaction): CognitiveAgentCombineSteering =
        CognitiveAgentCombineSteering(environment, reaction, node.pedestrianProperty, actions, steerStrategy)

    override fun nextPosition(): P = steerStrategy.computeNextPosition(actions).coerceAtMost(maxWalk)
}