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12.6: The Simulation

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    46684
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    The Simulation class for this chapter is based on the one in Section 11.4; the only differences are in __init__ and step.

    Here’s the __init__ method:

    class PDSimulation(Simulation): 
        
        def __init__(self, tournament, agents): 
            self.tournament = tournament 
            self.agents = np.asarray(agents) 
            self.instruments = []
    

    A Simulation object contains a Tournament object, a sequence of agents, and a sequence of Instrument objects (as in Section ??).

    Here’s the step method:

    def step(self): 
        self.tournament.melee(self.agents) 
        Simulation.step(self)
    

    This version of step uses Tournament.melee, which sets the fitness attribute for each agent; then it calls the step method from the Simulation class, reproduced here:

    # class Simulation 
        
        def step(self): 
            n = len(self.agents) 
            fits = self.get_fitnesses() 
            
            # see who dies 
            index_dead = self.choose_dead(fits) 
            num_dead = len(index_dead) 
            
            # replace the dead with copies of the living 
            replacements = self.choose_replacements(num_dead, fits) 
            self.agents[index_dead] = replacements 
            
            # update any instruments 
            self.update_instruments()
    

    Simulation.step collects the agents’ fitnesses in an array; then it calls choose_dead to decide which agents die, and choose_replacements to decide which agents reproduce.

    My simulation includes differential survival, as in Section 11.7, but not differential reproduction. You can see the details in the notebook for this chapter. As one of the exercises, you will have a chance to explore the effect of differential reproduction.


    This page titled 12.6: The Simulation is shared under a CC BY-NC-SA 3.0 license and was authored, remixed, and/or curated by Allen B. Downey (Green Tea Press) .

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