Simulating Life

Will actually add human agents this week. Last week, I was troubleshooting my infection.

Humans will either be hunters, dog walkers, or farmers.

Going to continuously take pop counts at various time stamps for monogamy. This will then be held consistent for all other breeding methods -> regression analysis

I have created the code to keep score of mosquito population at time 240 without cleaning any water puddles. Need to add the code to be able to collect mosquito population data for rest of the cleanliness levels (conditions) at time 240.

This week I hope to figure out how to “fix” the finally part of my simulation I mentioned in my code review, so I can finish my final paper with time to edit it.

The finally step to my simulations is when a drug resistant HIV infects the t-cell, the t-cell will not be able to be cured. Im not sure how I can do this when i only have one Agent for HIV and one agent for the t-cell

Not much to chime in on:
Unless I think up something new to code in all I have left to do is to optimize the simulation so it runs for a decent amount of time before either the simulation crashes or the population crashes. So that is what I will be doing this week and if I can manage to get it going for the desired amount of time I can start collecting data for ANOVA.

For this week, I remixed another simulation where humans were becoming immune instead of dogs by doctors. This new simulation also involves a graph, showing how the population within the terrain is affected once humans are becoming immune to the new condition. The original version contained immune dogs. With two graphs displaying a different outcome of population it will show a comparison of results. This could also lead up to recording how long it would take for a certain number of humans to be infected.

Currently, I am still conducting runs of my experiment and taking data from my line graph. However, I am considering adding a few things to take my project to the next level. I might try to add a virus that works with the sick organisms to make them fertile while temporarily sterilizing healthy organisms; this might only occur at certain times of the year, so I would have to implement a year and seasons into my project.

So, now that I’ve fixed my problem with getting Slnova to work, I’ve started to collect information on how the contagion spreads and how effective at wiping out a population this plague is. By playing with the amounts of rats, the mortality and recovery rates, and the introduction of different amounts of super spreaders in my base population I can graph and compare different runs of each test to see how the variables affect the outcome of my simulation.

My plan this week is to take data. I will run the simulation 10 times. Each time I will stop the simulation at 25 seconds and see how many  green beetles there are. I set up a clock in the world. The clock will keep track of time in seconds.