Package 

Class Fear

  • All Implemented Interfaces:
    it.unibo.alchemist.model.cognitiveagents.impact.cognitive.CognitiveCharacteristic , it.unibo.alchemist.model.cognitiveagents.impact.individual.Characteristic 
    
public final class Fear
extends MentalCognitiveCharacteristic

    The fear emotion.

    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description

    • Field Summary

      Fields 
      Modifier and Type Field Description

    • Constructor Summary

      Constructors 
      Constructor Description
      Fear(Function0<Double> desireWalkRandomly, Function0<Double> desireEvacuate, Function0<List<CognitiveModel>> influencialPeople)

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description

    • Method Summary

      Modifier and Type Method Description
      Double combinationFunction() Algorithm which decides how the parameters involved in the evolution of this characteristic must be combined together.

      • Methods inherited from class it.unibo.alchemist.model.cognitiveagents.impact.cognitive.Fear

        update

      • Methods inherited from class it.unibo.alchemist.model.cognitiveagents.impact.cognitive.MentalCognitiveCharacteristic

        level

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

      • Fear

        Fear(Function0<Double> desireWalkRandomly, Function0<Double> desireEvacuate, Function0<List<CognitiveModel>> influencialPeople)
        Parameters:
        desireWalkRandomly - 
            the current desire of not evacuating of the agent owning this.
        desireEvacuate - 
            the current desire of evacuating of the agent owning this.
        influencialPeople - 
            the list of cognitive agents with an influence on the agent owning this.

    • Method Detail

      • combinationFunction

         Double combinationFunction()

        Algorithm which decides how the parameters involved in the evolution of this characteristic must be combined together. It can be either a max, min, summation or any other type of function.