Dorian,

I am reading your arxiv paper and, based on your 'towards H-AGI' outline
(below) I am going to develop an outline for a paper that includes your
biological H-AGI approach, a Colin-inorganic H-AGI approach and a
Colin-inorganic S-AGI approach. Potential IGI investors will get a sense of
agnosticism about approach details while appreciating the general
distinction between what has come before and the expansion of directions
that H/S-AGI presents.

Note: As the paper develops, if anyone else thinks they have another
approach that might broaden the readership's understanding, please advise!
Even if it's just a bullet point overview it could add to the spectrum of
approaches.

I am intending to generate a suggested outline for the whole paper. So that
we have some structure.

I am fitting it in around a multitude of distracting personal activities,
so please give me 24 hours to get it through.

regards

Colin


On Thu, May 21, 2015 at 4:40 AM, Dorian Aur <[email protected]> wrote:

> *Colin et al,*
>
>
> A possible plan for H-AGI towards S-AGI paper
>
>
>
> *Hybrid artificial general intelligent systems towards S-AGI*
>
>
>
>
>
> *Introduction* – a short presentation of AI systems and general goal to
> build human general intelligence
>
>
>
> Why H-AGI?
>
>    - Present different forms of computation , ( particular forms of
>    computation analog, digital -Turing machines )
>    - Computations in the brain (examples of computations that are hardly
>    replicated on digital computers)
>    - H-AGI can include all forms of computations, algorithmic /
>    non-algorithmic, analog, digital,* quantum and classical *since
>     biological structure is incorporated in the system
>
>
>
> *Steps to develop  H-AGI*
>
>
>
>    - A.  Build the structure using either natural stem cells or  induced
>    pluripotent cells  a three-dimensional vascularized structure, test 3D
>    printing possibilities
>    - Shape the structure and control  spatial organization of cells
>    - Detect the need of neurotrophic factors, nutrients and oxygen ...use
>    nanosensor devices, carbon nanotubes...
>    - Regulate, control the entire phenomenon using a computer interface,
>    ability to use combine analog/digital and biophysical computations
>
> B. Train the hybrid system
>
>    - Enhance bidirectional communication between biological structure and
>    computers
>    - Create and use  a virtual world to provide accelerated training, use
>    machine learning, DL,  digital/algorithmic  AI or AGI if something is
>    developed on digital systems
>    - The interactive training system should also shape the evolution of
>    biological structure,  natural language and visual information can be
>    progressively included
>
>  see  details in Can we build a conscious machine,
> http://arxiv.org/abs/1411.5224
>
>
> *Goals of H-AGI*
>
> H-AGI  can be seen as a transitional step required to understand  which
> parts can be fully replicated in a synthetic form to  build a more powerful
> system,
>
> ·        Natural language processing, robotics...
>
> ·        Space exploration, colonization..... etc
>
> ·        Techniques for therapy (brain diseases, cancer ....) since we
> will learn how to shape biological structure
>
>
>
>
> Dorian
>
>
> PS This brief presentation may  also provide an idea about possible
> collaboration list 1- list 3
>
>
>
> On Tue, May 19, 2015 at 11:20 PM, Mike Archbold <[email protected]>
> wrote:
>
>> > A summary ....we are looking at the idea that there are 2 fundamental
>> kinds
>> > of putative AGI (1) & (3), and their hybrid (2) that forms a third
>> approach
>> > as follows:
>> >
>> > (1) C-AGI      computer substrate only. Neuromorphic equivalents of it.
>> > (2) H-AGI      hybrid of (1) and (3). The inorganic version is a new
>> kind
>> > of neuromorphic chip. The organic version has ... erm... organics in it.
>> > (3) S-AGI      synthetic AGI. organic or inorganic. Natural brain
>> physics
>> > only. No computer.
>> >
>> > (aside: S-AGI just came out of my fingers. I hope this is OK, Dorian!)
>> >
>>
>> This is a cool idea, somewhat mind boggling in its possibilities.
>> Cool though!
>>
>> Personally I would favor something more like "EM-AGI" for
>> electromagnetic AGI.  I mean, I don't understand the details of the
>> approach, only the generalities.  But, "S" seems a bit vague/ambiguous
>> while EM hits it more or less on target IMHO.
>>
>> MIke A
>>
>>
>> > Think this way: What we have now is 100% computer. S-AGI is 100% natural
>> > physics (organic or inorganic). H-AGI is set somewhere in between.  It's
>> > the level of computer computation/natural computation that is at issue.
>> All
>> > are computation.
>> >
>> > The human brain is a natural version of (3) with a neuronal/astrocyte
>> >  substrate. (3) has no computer whatever in it. it retains all the
>> natural
>> > physics (whatever that is). H-AGI targets the inclusion of the essential
>> > natural brain physics in the substrate of (2) and to incorporate (1)
>> > computer-substrates and software to an extent to be determined. In my
>> case
>> > an H-AGI would be inorganic. Others see differently.
>> >
>> > Where you might have a stake in this?
>> >
>> > The history of AGI can be summed up as an experiment that seeks to see
>> if
>> > the role of (1) C-AGI as a brain is fundamentally indistinguishable from
>> > (3) S-AGI under all conditions. That is the hypothesis. The 65 year old
>> bet
>> > that has attracted 100% of the investment to date. H-AGI does not make
>> that
>> > presupposition and seeks to contrast (1) and (3) in revealing ways that
>> > then allow us to speak authoritatively about the (1)/(3) relationship in
>> > AGI potential. Only then will we really understand the difference
>> between
>> > (1) and (3). So far that difference is entirely and intuition. A good
>> one.
>> > But only intuition. Its time for that intuition to be turned into
>> science.
>> > Experiments in (1) have ruled to date. Now we seek to do some (2)...
>> E.E.
>> > we have 65 years of 'control' subject. H-AGI builds the first 'test'
>> > subject.
>> >
>> > How about this?
>> >
>> > What would be super cool is if this mighty AGI beast you intend making
>> > could be turned into the brain of a robot. Then we could contrast what
>> it
>> > does with what an IGI candidate brain does in an identical robot in the
>> > same test. That kind of testing vision (as far off as it may seem) is a
>> > potential way your work and the IGI might interface. Which candidate
>> robot
>> > best encounters radical novelty, without any human
>> intervention/involvement
>> > whatever? .... is a really good question. To do this test you'd not
>> need to
>> > reveal anything about its workings. Observed robot behaviour is
>> decisive.
>> >
>> > It seems to me that whatever venture you plan, it might be wise to keep
>> an
>> > eye on any (2)/(3) approaches. IGI or not. Because it is directly
>> informing
>> > expectations of outcomes in (1). We are currently asking the question
>> "*If
>> > H-AGI were to be championed into existence, what would the first vehicle
>> > for that look like?*" If the enthusiasm maintains it will be sketched
>> into
>> > a web page and we'll see what it tells us and what to do next. It may
>> halt.
>> > It may go. I don't know. Worth a shot? You bet.
>> >
>> > With your (1) C-AGI glasses firmly strapped to your head, your wisdom at
>> > all stages in this would be well received, whatever the messages. So if
>> you
>> > have time to keep an  eye on happenings, I for one would appreciate it.
>> >
>> > regards
>> >
>> > Colin Hales
>> >
>> >
>> >
>> > On Wed, May 20, 2015 at 6:58 AM, Peter Voss <[email protected]> wrote:
>> >
>> >> Thanks for asking. Haven’t followed the IGI discussions.
>> >>
>> >>
>> >>
>> >> Is this about non-computer based approaches to AGI?  If so, I don’t
>> think
>> >> I have anything positive to contribute.
>> >>
>> >>
>> >>
>> >> More generally, non-profit orgs need strong focus and champions.  And
>> >> specific goals.
>> >>
>> >>
>> >>
>> >> *From:* Benjamin Kapp [mailto:[email protected]]
>> >> *Sent:* Tuesday, May 19, 2015 12:23 PM
>> >> *To:* AGI
>> >> *Subject:* Re: [agi] Institute of General Intelligence (IGI)
>> >>
>> >>
>> >>
>> >> Mr. Voss,
>> >>
>> >> Given your understanding of the AGI community do you believe an IGI
>> would
>> >> be redundant?  Would your organization be open to collaborating with
>> the
>> >> IGI?  Do you have any advice for how we could be successful in starting
>> >> up
>> >> this organization?  Perhaps you would be open to being a member of the
>> >> board?
>> >>
>> >>
>> >>
>> >> On Tue, May 19, 2015 at 2:03 PM, Peter Voss <[email protected]> wrote:
>> >>
>> >> Not something that can be adequately covered in a few words, but….
>> “We’re
>> >> building a fully integrated, top-down & bottom-up, real-time, adaptive
>> >> knowledge (& skill) representation, learning and reasoning engine.
>> We’re
>> >> using a combination of graph representation and NN techniques overlaid
>> >> with
>> >> fuzzy, adaptive rule systems” – ha!
>> >>
>> >>
>> >>
>> >> Here again are links for some clues:
>> >>
>> >>
>> >>
>> >>
>> >>
>> http://www.kurzweilai.net/essentials-of-general-intelligence-the-direct-path-to-agi
>> >>
>> >> http://www.realagi.com/index.html
>> >>
>> >> https://www.facebook.com/groups/RealAGI/
>> >>
>> >>
>> >>
>> >>
>> >>
>> >> *From:* Benjamin Kapp [mailto:[email protected]]
>> >>
>> >>
>> >>
>> >> Mr. Voss,
>> >>
>> >> Since you are the founder I'm certain you know what agi-3's methodology
>> >> is.  In a few words (maybe more?) could you share with us what that is?
>> >>
>> >>
>> >>
>> >> On Tue, May 19, 2015 at 1:24 PM, Peter Voss <[email protected]> wrote:
>> >>
>> >> *>*http://www.agi-3.com  They just glue together anything and
>> everything
>> >> that works.
>> >>
>> >> Actually, no.  We have a very specific theory of AGI and architecture
>> >>
>> >> *Peter Voss*
>> >>
>> >> *Founder, AGI Innovations Inc.*
>> >>
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