All of garf's Comments + Replies

garf00

I did not state that very well, the surface layer is the aggregate result of all the behaviors/rules. I am guessing that your power function is extracting some attribute(s) of the surface layer.

garf00

I guess this depends on your view of the world. I would say that if you simply write a power function then that would indicate an arbitrary assumption to begin with, that has had to simplify a number of significant factors. Writing a power function might be simple, but I am not sure that it would be significant.

For example one view of the world would be at the surface layer, where you see the end result of a combination of small events. This is what I think you are doing with your power function, although I may be misunderstanding. Another view says... (read more)

0PhilGoetz
The surface layer is so abstract that I have almost no expectations.
garf20

If you are using an Agent based system, then determining power could be computed after outcomes based on the modeling attributes you have determined are important.

I would recommend 'Growing Artificial Societies: Social Science from the Bottom Up (Complex Adaptive Systems) ' by Epstein

0PhilGoetz
I don't understand. What would the computation be? EDIT: You mean, run the system, and then see who wins contests, and back-compute what that function is? Can't do that. That would just validate whatever arbitrary assumption I wrote into the simulator initially.
garf40

I am quite impressed with the positive response & helpful comments that have come about from your post. I wanted to throw in my own two cents worth for an activity that is possible while having ALS that has potential in the trans-humanist arena.

For the past year I have been a member of the OpenSource EEG group, and educating myself on Neurofeedback. I have also been blogging on my educational experiences, mostly just for myself. Some of the experiences I have had doing Neurofeedback have been very striking. These experiences typically occur duri... (read more)