> David Prince wrote:

> 

> Jure,

> 

> Hi! Not sure if you remember me, but we've exchanged a few notes.



Hello David, sure I remeber you. You came to news:comp.ai.philosophy

when you were learning philosophy, right?



> What you write below, if I understand correctly, is something I also

> believe. Let me make sure I understand you correctly first.

> 

> Basically, I see the human as a set of systems. There are reflex

> systems, sensory systems, thought systems, and so forth. One of those

> systems is what we might call the "self" system. This is the system

> has access to many of the other systems, and identifies the events of

> those systems with language. It produces such output as "I am hot." "I

> hate her." "I need to go to town."

>

> This agrees with the philosophy of David Hume and Buddhism. The

> important question is how to implement a model of this. I think it

> could be done.

> 

> Please write me back and let me know if I have understood you

> correctly.



You understood me correctly. I have lately expanded my knowledge over a

bit of neurology, here is what I came up with (time to trash to

philosophical nonsense of critics of our theory ;) :



(See the attached "Brain.gif", you can have it if you want. ;)

As commonly known there are cortexes in our brains, all neurologists are

thaught that a neural signal has a meaning according to where it's

comming from, each cortex has it's own tentacles (red, green and blue).

Then there is the brain surface layer, it is made out of neurons covered

with "meline" (sorry, I'm translating) those neurons can transfer

impulses trough them up to about 3 times faster than normal ones and are

always used for information transfer (not processing). That layer is

coloured with black on the picture (and white in a real brain). I've

coloured the 'self' with violet.



Note that it was once common with people to say that the brain surface

layer is the does the processing. It was logical: the larger it was, the

better the brain was at thinking. But as you see, this just isn't true:

The logic is now that the larger the layer is, the better communication

between parts there is (32-bit transfer style ;) and thus the better is

the brain's preformance. 



So this is a bunch of components, with their own tentacles and with

data-transfer fibers around them, just like in a computer: processing

cards, with external plugs on them, pluged into a mother-board that is

basically little more than a data-transfer circut. The only diffirence

is the nature's solution of having the transfer circut around the

components not in between them.



I am glad you showed your interest in the theory. Maybe we could work

out a working model if we cooperate. 

Keep in touch.



--



Don't feel bad about asking/telling me anything, I will always gladly

reply.



Wish you a lot of theta brain-waves!!



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