On Fri, Apr 28, 2017 at 1:42 AM, Nageen Naeem <[email protected]> wrote:

> Can we say that knowledge representation in OpenCog is somehow equal to
> human level knowledge representation? if you can say then give reasons,
> please.
>

I'm very sorry, but that question does not make sense.  Knowledge
representation in humans is done floating in a chemical soup of hormones in
the blood-stream, neurotransmitters in junctions, highspeed electrical
signals that "teleport" (think "stargate") neurotransmitters across long
distances at high speeds (we call these teleportation devices "neurons" -
up to two meters long)

This two-meter length can be overcome by using printed books, television
media, social media, and e-mails. Basically, my neurons talk to your
neurons through email.  Email is a weird idea-teleportation device.  Our
two brains are part of a much bigger brain.

Currently, the largest such "global brains" are capitalist corporations and
nations.  Think of a corporation, or a nation, as a super-sophisticated
"meme".  Like a cat meme, but much much more complex.

Although corporations are enabled by humans, they run automatically.  Some
machines are created by accident; for example, World War One was a
knowledge representation system that happened "by accident", and it only
stopped when it ran out of feed-stock (young men to kill).

AGI is the gradual migration of various portions of corporations onto
silicon computers.

Going in the other direction, Roger Penrose and Sturart Hammeroff think
that individual living biological cells are quantum computers. Maybe they
are right.

Although opencog can be used to represent a quantum computer, it would be
silly to use this representation, and then try to create a full-automated,
no-humans-involved, capitalist corporation.  In principle, opencog can do
this,  In practice, not so much.

--linas


> Thanks
> Regards
> Nageen
>
>
> On Friday, April 28, 2017 at 11:34:54 AM UTC+5, Nageen Naeem wrote:
>>
>> is opencog knowledge representation language is able to learn things?
>>
>> On Friday, April 28, 2017 at 9:47:45 AM UTC+5, Daniel Gross wrote:
>>>
>>> Hi Linas,
>>>
>>> I guess i should further ask:
>>>
>>> What determines the expressiveness of OpenCogs representation, the one
>>> that is bult-into its inference.
>>>
>>> thank you,
>>>
>>> Daniel
>>>
>>> On Thursday, 27 April 2017 05:27:45 UTC+3, linas wrote:
>>>>
>>>>
>>>>
>>>> On Wed, Apr 26, 2017 at 2:06 PM, Nageen Naeem <[email protected]>
>>>> wrote:
>>>>
>>>>> how I can differentiate knowledge representation in OpenCog and
>>>>> traditional knowledge representation techniques.
>>>>>
>>>>
>>>> Opencog is really pretty traditional in its representation form. There
>>>> are whizzy bits: the ability to assign arbitrary valuations to the KR (e.g.
>>>> floating point probabilities). Maybe I should say that opencog allows you
>>>> to "design your own KR", although it provides a reasonable one, based on
>>>> the PLN books.
>>>>
>>>> There's a pile of tools not available in other KR systems, including a
>>>> sophisticate pattern matcher, a prototype pattern miner, a learning
>>>> subsystem, an NLP subsystem.  Its an active project, its open source, with
>>>> these last two distinguishing it from pretty much everything else.
>>>>
>>>> --linas
>>>>
>>>>
>>>>>
>>>>> On Thursday, April 27, 2017 at 12:02:16 AM UTC+5, Nageen Naeem wrote:
>>>>>>
>>>>>> basically, i want to compare knowledge representation techniques,
>>>>>> want to compare knowledge representation in OpenCog and in clarion? any
>>>>>> description, please.
>>>>>>
>>>>>> On Wednesday, April 26, 2017 at 11:54:11 PM UTC+5, linas wrote:
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Wed, Apr 26, 2017 at 1:41 PM, Nageen Naeem <[email protected]>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> OpenCog didn't shift to java from c++?
>>>>>>>>
>>>>>>>
>>>>>>> You are welcome to study https://github.com/opencog for the source
>>>>>>> languages used.
>>>>>>>
>>>>>>>
>>>>>>>> Thanks for defining pros and cons if there is any paper on
>>>>>>>> comparison with other architecture kindly recommend me.
>>>>>>>>
>>>>>>>
>>>>>>> Ben has written multiple books on the archtiecture in general.  The
>>>>>>> wiki describes particular choices.
>>>>>>>
>>>>>>> I am not aware of any other (knowledge-representation) architectures
>>>>>>> that can do what the atomspace can do.  So I'm not sure what you want to
>>>>>>> compare against. Triplestore? various actionscripts? Prolog?
>>>>>>>
>>>>>>> --linas
>>>>>>>
>>>>>>>
>>>>>>>> On Wednesday, April 26, 2017 at 9:36:04 PM UTC+5, Ben Goertzel
>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>> OpenCog did not shift from Java to C++, it was always C++
>>>>>>>>>
>>>>>>>>> The advantage of Atomspace is that it allows fine-grained semantic
>>>>>>>>> representations of all forms of knowledge in a common framework.
>>>>>>>>> The
>>>>>>>>> disadvantage is, this makes things complicated.   The other
>>>>>>>>> advantage
>>>>>>>>> is, this fine-grained representation makes data amenable to
>>>>>>>>> multiple
>>>>>>>>> AI algorithms, including ones that can work together
>>>>>>>>> synergetically
>>>>>>>>>
>>>>>>>>> ben
>>>>>>>>>
>>>>>>>>> On Wed, Apr 26, 2017 at 12:10 PM, Nageen Naeem <[email protected]>
>>>>>>>>> wrote:
>>>>>>>>> > Hey,
>>>>>>>>> > I'm searching for pros and cons for using atomspace for
>>>>>>>>> knowledge
>>>>>>>>> > representation but didn't get any full-fledged answer related to
>>>>>>>>> it. what
>>>>>>>>> > are the pros and cons of using atomspace and why OpenCog shifted
>>>>>>>>> to java
>>>>>>>>> > from c++ what are reasons behind it?
>>>>>>>>> >
>>>>>>>>> > --
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>>>>>>>>> > For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Ben Goertzel, PhD
>>>>>>>>> http://goertzel.org
>>>>>>>>>
>>>>>>>>> "I am God! I am nothing, I'm play, I am freedom, I am life. I am
>>>>>>>>> the
>>>>>>>>> boundary, I am the peak." -- Alexander Scriabin
>>>>>>>>>
>>>>>>>> --
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>>>>>>>>
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>>>>>>>>
>>>>>>>
>>>>>>>
>>>>

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