What I meant by that is the conflict metaphor meme has taken hold of you,so 
that now you view things through the conflict lens.  It's okay, it's how we all 
work.  Until you find a better paradigm/explanation, conflict is the metaphor 
that's driving you now.  
Cheers.
~PM.

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From: [email protected]
To: [email protected]
Subject: Re: [agi] Changing the Computational Paradigm
Date: Wed, 9 Jan 2013 09:50:12 +0000







PM,
eresting. I have missed this. I’ve read one prominent consciousness book in 
the last 2 years, wh recognized that the brain is “democratic” and works on a 
conflict model, – as governments do. (This is a point I made some time ago – 
broadly, it’s true). But I haven’t seen more. So if you can suggest 
names/links/evidence I’d be v. grateful. This is extremely important – and will 
be central to AGI – and will be on of many things that will depose the TM 
model. 
However Dennett seems to be saying something different – more like a federal 
model of the brain where independent parts are liable to go off in their own 
direction.


 

From: Piaget Modeler 
Sent: Wednesday, January 09, 2013 12:27 AM
To: AGI 

Subject: RE: [agi] Changing the Computational 
Paradigm
 

Metaphor drives perception, that's why renaming is a powerful 
strategy. 
Names frame how you interact with things.  Just ask Dr. Lakoff. 
It appears the conflict metaphor has taken hold. 
~PM

 
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> From: [email protected]
> 
To: [email protected]
> Subject: [agi] Changing the Computational 
Paradigm
> Date: Tue, 8 Jan 2013 22:42:36 +0000
> 
> 
http://www.edge.org/conversation/normal-well-tempered-mind
> 
> "I'm 
trying to undo a mistake I made some years ago, and rethink the idea 
> 
that the way to understand the mind is to take it apart in the simpler minds 

> and then take those apart into still simpler minds until you get down 
to 
> minds that can be replaced by a machine. This is called homuncular 

> functionalism, because you take the whole person. You break the whole 
person 
> down into two or three or four or seven sub persons that are 
basically 
> agents. They're homunculi, and this looks like a regress, but 
it's only a 
> finite regress, because you take each of those in turn and 
you break it down 
> into a group of stupider, more specialized homunculi, 
and you keep going 
> until you arrive at parts that you can replace with 
a machine, and that's a 
> great way of thinking about cognitive science. 
It's what good old-fashioned 
> AI tried to do and still trying to 
do.
> 
> The idea is basically right, but when I first conceived of 
it, I made a big 
> mistake. I was at that point enamored of the 
McCulloch-Pitts logical neuron. 
> McCulloch and Pitts had put together 
the idea of a very simple artificial 
> neuron, a computational neuron, 
which had multiple inputs and a single 
> branching output and a threshold 
for firing, and the inputs were either 
> inhibitory or excitatory. They 
proved that in principle a neural net made of 
> these logical neurons 
could compute anything you wanted to compute. So this 
> was very 
exciting. It meant that basically you could treat the brain as a 
> 
computer and treat the neuron as a sort of basic switching element in the 

> computer, and that was certainly an inspiring over-simplification. 
Everybody 
> knew is was an over-simplification, but people didn't realize 
how much, and 
> more recently it's become clear to me that it's a 
dramatic 
> over-simplification, because each neuron, far from being a 
simple logical 
> switch, is a little agent with an agenda, and they are 
much more autonomous 
> and much more interesting than any switch.
> 

> 
> 
> The question is, what happens to your ideas about 
computational architecture 
> when you think of individual neurons not as 
dutiful slaves or as simple 
> machines but as agents that have to be kept 
in line and that have to be 
> properly rewarded and that can form 
coalitions and cabals and organizations 
> and alliances? This vision of 
the brain as a sort of social arena of 
> politically warring forces seems 
like sort of an amusing fantasy at first, 
> but is now becoming something 
that I take more and more seriously, and it's 
> fed by a lot of different 
currents.
> 
> 
> Evolutionary biologist David Haig has some 
lovely papers on intrapersonal 
> conflicts where he's talking about how 
even at the level of the genetics, 
> even at the level of the conflict 
between the genes you get from your mother 
> and the genes you get from 
your father, the so-called madumnal and padumnal 
> genes, those are in 
opponent relations and if they get out of whack, serious 
> imbalances can 
happen that show up as particular psychological anomalies.
> 
> 
We're beginning to come to grips with the idea that your brain is not this 

> well-organized hierarchical control system where everything is in 
order, a 
> very dramatic vision of bureaucracy. In fact, it's much more 
like anarchy 
> with some elements of democracy. Sometimes you can achieve 
stability and 
> mutual aid and a sort of calm united front, and then 
everything is 
> hunky-dory, but then it's always possible for things to 
get out of whack and 
> for one alliance or another to gain control, and 
then you get obsessions and 
> delusions and so forth.
> You begin 
to think about the normal well-tempered mind, in effect, the 
> 
well-organized mind, as an achievement, not as the base state, something 

> that is only achieved when all is going well, but still, in the general 

> realm of humanity, most of us are pretty well put together most of the 
time. 
> This gives a very different vision of what the architecture is 
like, and I'm 
> just trying to get my head around how to think about 
that.
> What we're seeing right now in cognitive science is something that 
I've been 
> anticipating for years, and now it's happening, and it's 
happening so fast I 
> can't keep up with it. We're now drowning in data, 
and we're also happily 
> drowning in bright young people who have grown 
up with this stuff and for 
> whom it's just second nature to think in 
these quite abstract computational 
> terms, and it simply wasn't possible 
even for experts to get their heads 
> around all these different topics 
30 years ago. Now a suitably motivated kid 
> can arrive at college 
already primed to go on these issues. It's very 
> exciting, and they're 
just going to run away from us, and it's going to be 
> fun to watch. 

> 
> 
> 
> 
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