@ Aaron

A scientific hypothesis would barely qualify as a spark. It is usually 
formulated from systematic research and perhaps even emerge from a degree of 
systems thinking, more as a response then, than a random stimulus. 

Speaking from my own experience of enlightenment, not all sparks were of 
simulation nature. Some might have been, but I do not recall right now. Some 
were complete movies. Sometimes, it was just a "snap"!, complete in an instant. 
Out of the blue kinda stuff. 

Perhaps it works differently for different persons then? Only afterwards, I had 
to think of what it all meant and how it would possibly relate to relative 
reality as we know it. This is why we have dialogue then, so we could learn 
from each others' perspectives.    

Date: Tue, 17 Feb 2015 15:33:05 -0600
Subject: Re: [agi] Couple thoughts
From: [email protected]
To: [email protected]

To my mind, thought, as distinct from reasoning, but as creative thought, 
relates to imagination and the spiritual connection Ben often speaks about. 
Perhaps then, thought is not learning so much, but more as a spark of sorts, 
preceding the formulation into a learning construct. 
Imagination is exploration, through simulation, of the interactions of the 
model with a potentially counterfactual hypothesis. The hypothesis is the 
"spark" of which you speak -- an arbitrary "what if" whose answer lets us 
discover new alternatives or identify inconsistencies in our model. It does 
frequently precede learning, since the incorporation of the outcomes of the 
simulation into the model constitutes one method of learning.

On Tue, Feb 17, 2015 at 3:17 PM, Nanograte Knowledge Technologies via AGI 
<[email protected]> wrote:



@ Aaron

To my mind, thought, as distinct from reasoning, but as creative thought, 
relates to imagination and the spiritual connection Ben often speaks about. 
Perhaps then, thought is not learning so much, but more as a spark of sorts, 
preceding the formulation into a learning construct. 

Rob

@ Matt

Can humans fly at Mach 5? Can humans stay for weeks at depths of 600m below the 
oceanic surface? Can humans travel to the moon and back? Machines can already 
do that. To my mind, it is not a contest at all, and it should not be. If it 
were, in computing power and stamina alone, machines would win every time. 
Remember the fastest man versus the steam train contest? 

You are quite correct though. Humans generally invent machines for their 
purposes, as tools. Some have already replaced workers. Others have already 
help solve our biggest dilemmas of the day. Perhaps, even other machines, would 
one day decide for themselves what kind of variety of machine they want to be, 
how they would help us, and perhaps even, some would become part of our quantum 
fabric? The point is, it is possible. 

Rob   

> Date: Tue, 17 Feb 2015 16:06:19 -0500
> Subject: Re: [agi] Couple thoughts
> From: [email protected]
> To: [email protected]
> 
> On Tue, Feb 17, 2015 at 9:25 AM, martin biehl via AGI <[email protected]> 
> wrote:
> >
> > What is wrong with the Legg and Hutter definition of intelligence? I think 
> > that is it.
> 
> For proving theorems, there is nothing wrong with it. For example, we
> can prove that a general solution is not computable. We can prove that
> good solutions must have high algorithmic complexity. It puts to rest
> the "neat" vs. "scruffy" debate. AGI is not like physics. It's long,
> hard, slow, expensive work, not an equation.
> 
> For practical purposes, "intelligence" is not really the problem we
> want to solve. The problem we want to solve is automating human labor.
> It requires solving hard problems like vision, natural language,
> robotics, art, and modeling human behavior. We want machines to
> understand what we want and do it, not to outsmart us.
> 
> -- 
> -- Matt Mahoney, [email protected]
> 
> 
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