Re: [opencog-dev] Tracking of an atomese mind through the generations

2017-10-04 Thread 'Nil Geisweiller' via opencog 
You can also evolve atomese programs maximizing some fitness, like MOSES 
does, you don't necessarily need experience. MOSES is gonna be ported to 
the AtomSpace, it sounds related to what you want to do.


Nil

On 10/04/2017 07:48 AM, Linas Vepstas wrote:
Learning requires a bunch of experiences from which to generalize, and 
some way of deciding if the thing that was learned is worth remembering. 
Oh, and then using what you've learned.  You might enjoy debating on the 
AGI mailing list, to discuss how this might be achieved.


--linas

On Wed, Oct 4, 2017 at 10:54 AM, Daniel Fagerlie 
> wrote:


I just had a passing thought, and I wanted to see how others have
done something similar; what it is called?

I may not understand the atomspace fully. If so, forgive my blunder.
Also, I'm no expert on these subjects, which is about to be obvious,
but I decided to make this post anyways for the experience.

My thought is to grow a certain number of atoms within an atomspace
using a genetic algorithm approach, but track the change from
chaotic atomspace to the ordered atomspace. The problems that the
simple mind is to solve should be something interesting but small
enough to be properly evolved within a reasonable time frame (I'd
have to give this more thought, but maybe an environment where logic
is needed, not just action/reaction). The idea is to study the
process of how genetic learning happens in the context of opencog,
and how it relates to the current work in creating mind agents for
learning.

Maybe this has already been done, or it's a concept hatched before I
have sufficiently gained understanding. Anyways, there it is.

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/"The problem is not that artificial intelligence will get too smart and 
take over the world," computer scientist Pedro Domingos writes, "the 
problem is that it's too stupid and already has." /


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Re: [opencog-dev] Tracking of an atomese mind through the generations

2017-10-03 Thread Linas Vepstas 
Learning requires a bunch of experiences from which to generalize, and some
way of deciding if the thing that was learned is worth remembering. Oh, and
then using what you've learned.  You might enjoy debating on the AGI
mailing list, to discuss how this might be achieved.

--linas

On Wed, Oct 4, 2017 at 10:54 AM, Daniel Fagerlie 
wrote:

> I just had a passing thought, and I wanted to see how others have done
> something similar; what it is called?
>
> I may not understand the atomspace fully. If so, forgive my blunder. Also,
> I'm no expert on these subjects, which is about to be obvious, but I
> decided to make this post anyways for the experience.
>
> My thought is to grow a certain number of atoms within an atomspace using
> a genetic algorithm approach, but track the change from chaotic atomspace
> to the ordered atomspace. The problems that the simple mind is to solve
> should be something interesting but small enough to be properly evolved
> within a reasonable time frame (I'd have to give this more thought, but
> maybe an environment where logic is needed, not just action/reaction). The
> idea is to study the process of how genetic learning happens in the context
> of opencog, and how it relates to the current work in creating mind agents
> for learning.
>
> Maybe this has already been done, or it's a concept hatched before I have
> sufficiently gained understanding. Anyways, there it is.
>
> --
> You received this message because you are subscribed to the Google Groups
> "opencog" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to opencog+unsubscr...@googlegroups.com.
> To post to this group, send email to opencog@googlegroups.com.
> Visit this group at https://groups.google.com/group/opencog.
> To view this discussion on the web visit https://groups.google.com/d/
> msgid/opencog/9627a84f-758c-41e2-b410-da7ce317213b%40googlegroups.com
> 
> .
> For more options, visit https://groups.google.com/d/optout.
>



-- 
*"The problem is not that artificial intelligence will get too smart and
take over the world," computer scientist Pedro Domingos writes, "the
problem is that it's too stupid and already has." *

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[opencog-dev] Tracking of an atomese mind through the generations

2017-10-03 Thread Daniel Fagerlie 
I just had a passing thought, and I wanted to see how others have done 
something similar; what it is called?

I may not understand the atomspace fully. If so, forgive my blunder. Also, 
I'm no expert on these subjects, which is about to be obvious, but I 
decided to make this post anyways for the experience. 

My thought is to grow a certain number of atoms within an atomspace using a 
genetic algorithm approach, but track the change from chaotic atomspace to 
the ordered atomspace. The problems that the simple mind is to solve should 
be something interesting but small enough to be properly evolved within a 
reasonable time frame (I'd have to give this more thought, but maybe an 
environment where logic is needed, not just action/reaction). The idea is 
to study the process of how genetic learning happens in the context of 
opencog, and how it relates to the current work in creating mind agents for 
learning. 

Maybe this has already been done, or it's a concept hatched before I have 
sufficiently gained understanding. Anyways, there it is.

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