i DID NOT GET THE QUESTION. IF PAPERS ARE NEEDED THE THE FOLLOWING LINKS SHOULD DO

http://www.stephenwolfram.com/publications/academic/cellular-automata-self-organizing-systems.pdf

http://link.springer.com/article/10.1023%2FA%3A1004823720305#page-1

No problem. Looking forward for your contact info.

Dear Jiri,

I agree that cellular automata can describe many interesting evolutions. There is Conway's  game "Life" as an example; https://en.wikipedia.org/wiki/Conway%27s_Game_of_Life

With quite simple rules of interaction with neighbors, It shows stable, periodic, propagating objects and even an object that can create new objects.

Do you mean those type of games with rules from different sciences?

As for me, I am not a programmer (although it may be simple) but probably can suggest  (after some thinking) potentially interesting rules of interaction applied for social sciences.

Actually, There are ongoing several projects dealing with simulation of Self-Organization. Today, I will introduce the first one:

https://www.researchgate.net/publication/316989956_Cellular_Automaton_Simulation_of_Dynamic_Recrystallization_Introduction_into_Self-Organization_and_Emergence

It is how it all started for myself.

A list of other interesting software will follow here sooner or later.

Code Cellular Automaton Simulation of Dynamic Recrystallization: ...

Agent Based Simulation (ABS) or agent based Modeling (ABM) is another approach for simulating, There is plenty of platforms that make developing of the model more easier. I interested to Map Aware Non-uniform Automata (MANA).

Does anybody know what is the license of that? Does it available for free download? 

Dear Alizera Kavousi,

You are absolutely right! There are many tools that can be used to model self-organization (SO) and emergence (E) but here we do focus to CAs mainly. The reason is simple: CAs are relatively easy to program and to use. Once we do start to understand the very core of the SO and E principles then we can proceed to more difficult programming concepts and environments.

We can try to build a community of researchers who divide the working load and start to work on those very exciting and simultaneously very hard to understand principles. There is a growing evidence that life itself is built upon SO and E. But there is a great BUT, we do not know how it is built from scratch.

This enigma can be jointly solved by researchers from biology and mathematicians working in the complex system. This is my estimate of the future development of this exciting area of research.

Good luck with your research!

Jiri

Dear All,

I totally agree, is a very interesting topic to me.

Here is a good paper on the field.

http://www.sciencedirect.com/science/article/pii/016727898690237X

To me CA are quite fascinating since they look "simple" but at the same time a lot of questions are quite difficult to answer.

https://www.researchgate.net/project/Mysteries-of-Game-of-Life

Best

Alberto

Dear Colleagues/Dear Alberto,

You are absolutely right. Langdon's work opens new vistas, it is surprising that there is not so much going on. Identification of the right 'rules' of living entities seems to be the crucial point. Once we penetrate it, there are plenty of possibilities to create even artificial LIFE, not to speak about a better understanding of the functioning of the Life per se.

Better understanding requires knowledge from almost all scientific disciplines, it is what makes this subject so difficult and exciting (for myself) simultaneously.

We are about to create a new community of researchers who are aware of those issues and try to implement them within common research routines. That is a difficult task for many reasons. We do have to penetrate through the potential wall using a sufficient amount of activation energy.

All the best,

Jiri

To all,

There is a beautiful research that I do know like 10 years plus but it is still amazing how it works. It is done by agents having simple algorithms and it exploits possibilities of stigmergy. The video link is at the bottom.

Jiri

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A. Grushin & J. Reggia, Stigmergic Self-Assembly of Prespecified Artificial Structures in a Constrained and Continuous Environment, Integrated Computer-Aided Engineering 13, pp. 289-312 (2006)

Animations Page ( http://www.cs.umd.edu/~reggia/grushin.html )

Jiří Kroc,

Sayab rule could be another example of self organization in cellular Automata. This cellular automata, like Game of Life is in 2D with Moore neighborhood and two states but have a the glider-gun that consist of 5 cells, the glider's consist of three cells, and the glider gun can emerge from a collision of two gliders or from a collision from a glider vs a periodic structure, I hope it will be interesting for you.

http://matematicas.reduaz.mx/~jmgomez/srule.html

All the best

José Manuel Gómez Soto

Universidad Autónoma de Zacatecas

México

Dear colleague,

Thank you for sending me this valuable information and congratulations to the discovery. It is a very interesting observation. I will read the paper. Your research is fitting into the area of my own interests of self-organization and emergence.

For now, Jiri

As promised, the paper got read. It is a very interesting CA research that is building our experimental knowledge of emergent behavior. It is commented in RG comments section of the paper. Right now, I am reading other your paper dealing with a different rule.

Definitely, there is a bigger picture behind this research. Theory hiding there is very important for applications of emergent behavior in software and hardware.

It's nice to hear that you read the paper and it will be interesting for you.

I hope you find the connection between this and the behavior of cells like you originally see.

All the best

-jm