Use fixed seed only for testing and debugging. Tip #1: Build your simulations using random seed. And when it’s time to do a monte carlo simulation or something of the sort, BOOM! Errors everywhere. A fixed seed, if you are unlucky, will never throw this error and you can end up building a giant model having these little mistakes. It is important in this case to wait for all the agents to be created before checking if this agent should go to latent or not. Since this function is executed only if the agent is not infected, the seed value will hide this problem because it will always have a first agent that is infected and hence doesn’t execute that function. So lastContactedAgent.infected will throw an error. The first agent that is created, will return null with the randomWhere function, because at that point, it is the only agent in the population.
The randomWhere function will return null if there is nothing found that fulfills the condition. MyAgent lastContactedAgent = randomWhere( main.myAgents, a-> !a.equals( this) ) In the model you downloaded, the seed value is set to 5023 (figure 4). It is very common when we run our models to keep the seed fixed, which is great to find problems in your models, but it’s also great to hide the problems. But even if you did, there is still some value you can get from here. If you found out the problem, well congratulations. Can you see what that problem is?įigure 3 – Model output, counting the number of agents in each state.Īnalyze it and discover what the problem is and find a way to solve it? Try it yourself, or you can check the solution clicking “Show”. If you run the model, everything will seem fine getting the output in figure 3, but there’s a problem with the model. In any other case it will move to the healthy state. On the branch, the agent will move to the sick state if infected is true and it will move to the latent state if latentInfection is true. So, if the agent in question is not infected, we will verify if it’s latent according to the function “willBeInitiallyInfected” This function will be called in the statechart entry point: “willBeInitiallyInfected” is a function that selects a random agent and if that agent is infected, “latentInfection” will take be true. If(lastContactedAgent.infected) latentInfection= true
#Anylogic agentsinrange code
Since the agents are created after 1 second, an event that will be triggered after 1 second has to be created with the following code (the argument in the add_myAgents function is not necessary if you define the parameter default value as randomTrue(0.5). If you can’t, click below to show the solution. The agent state chart may look something like this with 3 distinct initial states.
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