.... thinking futher.. maybe all these DNA codemay exist then in each cell (just as our DNA) but only have the right ones active..
Still then we ned another way of repro (to build at once the same complex child with a repro)
Isn't this bieng worked on for DB3?
I'm thinking that after repro it ends up copying all the memory as well (or allowing a bot to specifically do this/not do this). So if you have a neural net with dynamic weights and you repro all those weights get preserved. But I'm not 100% about it either way.
Well having read somethings about it
There are some interesting things about NN, for example if a single neuron dies... its not a problem (if the NN isnt to small), they as a group adapt.
On the other hand (DB shape = function) to suround such cells with some common cell with a lot of .shell (otherways creatures attacking brains get nasty killers.. ohwell its ok too..).
In reality if you drink some alcholic you wont die because some neurons got killed, after some drink you behave funny, but later you repair, your 'mind' isnt erased.
There are some neural nets (also in todays post at another topic here :
http://ccsl.mae.cornell.edu/emergent_self_models That realy learn from no awernes to walking (i've seen a documentary about that bot, its kinda rocket science)
It means if the net is real good it might tweak and tune itself (starting from some randomization values)
I think for us here starters in this field / copying values within some margins of the parents value would be more likely.
You know also interesting is that most ófficial books (not all) talk about 3 or more layered NN
But it is not realy required.... the brain isnt a layered structure in 3 or more layers.. its more complex.
I dont want to create such a complexity as the brain, however it means if the right logic in a single neuron bot, then it isnt limited to a layer structure
In essence shape as MB shapes might become more functional, ..or even evolve by well some darwin rules, we allready now from DB.
Also the right code doesnt mean the sim would get slow, its only some tie communication we allready can do, but have not done in this perspective i think.
It woulod only mean a bit more tie communication.. oh well computers are known to be able to do NN beter then me using a calculator...
But this 'new' multibots need a way of beeing created, an external editor (and once created some kind of DNA string or bleurprint (
ideas on that ??, save ties positions ?? )) for .repro
(because it so different i have been thinking of cell differentiation earlier.. a rebro bot, not much command processing only smart at repro, while others are only good at other specific functions)
also interesting just notice the general things a NN can do from this article
http://www.sciencedaily.com/releases/2010/...00425151146.htm (pretty hot stuff)
I'm not thinking DB would be the best NN simulator, but i think having it all combined a NN a genetic part, and shape (of a MB) to be a factor of function.. is pretty close to exciting biology emulation..
i think you get the idea
( oh and check this out, someone is doing something verry similair to DB in java with neural net "cells"
http://tim.hibal.org/blog/ (asbout halfway his blog..
Getting some NN inside DB is my reason to code again, but maybe my previous aprouch to learn opengl (intresting...) etc, wanst the right direction..