Aybars-log

October 28 I have found three papers on some old version of the 'racial neighborhood segregation' cellular automaton. I will read these papers and for tomorrow will try to add some probabilistic features to my Netlogo simulation.

October 29 Today, I met with Jim, and we talked about the possible extensions we can do to the automaton. I told Jim that I am going to finish adding the probabilistic features in the next few days. We also looked at the papers I was talking about and did not necessarily find any new magnificent implementation ideas about them. Still, it seems that those papers are going to be useful for the paper.

October 30 Today I finished adding probabilities to my simulator. So here are the news: About 2/3 of the time, the patch color stays the same. Of the other 1/3, what color the patch will become depends on the colors of the neighbors (the color of the patch itself not included) and there always is a 1/17 (which is about 6%) chance that it will randomly selected (1/3 chance for each color).

I also made the colors probabilistic, where now blues and greens are majorities (equally likely), where the reds are minorities (only about 1/11 of the population initially are reds). One thing that helps reds catch up is the mechanism explained above, where the probability of a red emerging is the same.

Now I am thinking that maybe we should make two different versions of this simulator, so that we can compare: 1- One or two gossips/superstitions/religions/beliefs/whatever we call it come about, and people tend to believe and tell more depending on how many times they heard each one. 2- Same thing, but this time there is also lingual fractionalization. So greens and blues can speak only their own languages, while the reds are the bilingual minorities.

October 30 Today I created a project page and placed a project summary in it. Of course, it still does not have to be the final final idea, but to me it seems that it might be.

November 1 Okay, I have made up my mind. There should be three different versions, which we compare. Which variables we are going to choose is still ambiguous, however, that should be evident soon. The three versions of the simulator that I am going to implement and compare are:

1- Racial fractionalization (the on I finished on October 29). 2- Racial-linguistic fractionalization (the one I explained on October 29). 3- Racial-linguistic-religious fractionalization. This one is the most complicated one. This one starts out as the racial-linguistic fractionalization simulator. However, after a number of ticks (when the simulator is coming closer to an equilibrium), two different religions/beliefs come up in the two major races (Greens and Blues). They cannot, however, talk to each other, as only Reds are bilingual (religion spurs out of blues to greens and vice versa, via Reds only). However, being of a different religion acts as an extra segregation factor.

November 2 I am still trying to decide, what variables we should be looking at. The definitely important variables are:

- The percent of the cells have at least one neighbor that is of a different race
- The percent of the cells that are of the majority race in their neighborhood

November 3 I am done with the racial-linguistic version also. The probabilistic structure of the racial segregation model was a two-step process. Just tampering with the second process a little gave me a nice racial-linguistic segregation model.

November 4 Today, I am working on the variables to be outputted. Right now I am developing the code, so that it will output and plot some variables (starting with, but not limited to the ones on November 2) in a given time.