Re: [agi] Re: ">

2019-10-17 Thread Manuel Korfmann
interpol.com.report(bor...@mail-hub.top).for("hacking attempt")

On Fri, Oct 18, 2019 at 3:21 AM  wrote:

> new
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[agi] Re: ">

2019-10-17 Thread borihe
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[agi] Re: ">

2019-10-17 Thread borihe
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[agi] Re: ">

2019-10-17 Thread borihe
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[agi] Re: ">

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[agi] ">

2019-10-17 Thread borihe
google.com _ _
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Re: [agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread immortal . discoveries
Good point, and mentorship is the faster way - i could teach a baby all i know 
by age 10. However we can't take 10 years being "Father", we gotta make these 
things MORE advanced than humans. They should be called ASIs :). They need to 
eat lots and lots of data on the internet. It can talk to itself fast of 
course, but that provides only limited bandwidth for research. It can however 
seek data after long bouts of thinking.
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Re: [agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread Stefan Reich via AGI
I will just build module after module in this new language (plus automated
tests). We have to enter knowledge manually in the beginning, there is no
way around that. You do the same thing with 1-year-olds too after all (talk
to them in easy sentences).

At some later point, we can start feeding it information from existing
sources.

On Fri, 18 Oct 2019 at 00:21,  wrote:

> most of the text on the internet is in natural language though.do you
> expect to teach it yourself? How?
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Re: [agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread Stefan Reich via AGI
$x is not marked as bot in discord => AI considers $x human

On Fri, 18 Oct 2019 at 00:24,  wrote:

> how do you store the concept "You don't need to actually say "human", any
> non-bot in Discord is considered a human by the glue code :o)" ?
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Re: [agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread immortal . discoveries
how do you store the concept "You don't need to actually say "human", any 
non-bot in Discord is considered a human by the glue code :o)" ?
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Re: [agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread Stefan Reich via AGI
You don't need to actually say "human", any non-bot in Discord is
considered a human by the glue code :o)

But yeah, synonyms will be handled, absolutely.

On Fri, 18 Oct 2019 at 00:20,  wrote:

> What if i say not human but homosapian? Can the program recognize similar
> words? Natural language?? :-)
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[agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread immortal . discoveries
most of the text on the internet is in natural language though.do you 
expect to teach it yourself? How?
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[agi] Re: Working program in Big Snakey (?) language

2019-10-17 Thread immortal . discoveries
What if i say not human but homosapian? Can the program recognize similar 
words? Natural language?? :-)
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Re: [agi] RIP Jacques Pitrat

2019-10-17 Thread Daniel Jue
Thank you for sharing this and giving us links to his work.

On Thu, Oct 17, 2019 at 10:36 AM Basile Starynkevitch <
bas...@starynkevitch.net> wrote:

> Jacques Pitrat was an AI and AGI pioneer in France. He passed away on
> October 14th 2019.
> 
> His blog is available on
> http://bootstrappingartificialintelligence.fr/WordPress3/
> 
> People here could also be interested by
> 
> @Article{Pitrat:1996:FGCS,
>title = "Implementation of a reflective system",
>journal = "Future Generation Computer Systems",
>volume = 12,
>number = 2,
>pages = "235 - 242",
>year = 1996,
>issn = "0167-739X",
>doi = "https://doi.org/10.1016/0167-739X(96)00011-8",
>url =
> "http://www.sciencedirect.com/science/article/pii/0167739X96000118";,
>author = "Jacques Pitrat",
>keywords = "Reflectivity, Metaknowledge, Bootstrap"
> }
> 
> @TechReport{Pitrat:2009:AST,
>title = {A Step toward an Artificial Artificial Intelligence
>Scientist},
>author = {Jacques Pitrat},
>url =
> {
> https://pdfs.semanticscholar.org/2117/9600b3f05c0af399f9acbfc6e7b6d24daf03.pdf
> },
>institution = {CNRS and LIP6 Université Paris},
>year = 2009
> }
> 
> @Book{Pitrat:2009:ArtifBeings,
>author = {Pitrat, Jacques},
>title = {Artificial Beings: The Conscience of a Conscious
>Machine},
>year = 2009,
>isbn = {978-1-848-21101-8},
>publisher = {Wiley ISTE}
> }
> 
> --
> Basile STARYNKEVITCH   == http://starynkevitch.net/Basile
> opinions are mine only - les opinions sont seulement miennes
> Bourg La Reine, France; 
> (mobile phone: cf my web page / voir ma page web...)
> 


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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
Sadly, repl.it doesn't provide a creation date, otherwise I could tell you
the exact day that I originally "sent" the first email in this thread.

It's probably 3-5 weeks ago.

On Fri, Oct 18, 2019 at 12:04 AM Manuel Korfmann  wrote:

> Oh, also big disclaimer: The initial email was sent on 16 october, but I
> originally "sent" it a big while ago, just my mac email program wasn't
> authenticated with google until 16. october.
>
> That probably explains why I'm so lost in my own code.
>
> On Fri, Oct 18, 2019 at 12:03 AM Manuel Korfmann 
> wrote:
>
>> Ok, sorry for being overly sensitive. Did you see my last email before
>> this one? I described it's functionality in the most simplest words I could
>> find atm.
>>
>>
>>
>> On Fri, Oct 18, 2019 at 12:01 AM Stefan Reich via AGI <
>> agi@agi.topicbox.com> wrote:
>>
>>> After all, you did post it
>>>
>>> On Thu, 17 Oct 2019 at 23:58, Stefan Reich <
>>> stefan.reich.maker.of@googlemail.com> wrote:
>>>
 There was no attack in what I posted whatsoever. I just wanted to know
 how your AI experiment works

 On Thu, 17 Oct 2019 at 23:52, Manuel Korfmann 
 wrote:

> Please be more specific in your questioning or less "ironic" when I
> don't correctly guess what you were questioning about.
>
> I assumed you were asking about the functionality of the versioning
> idea i proposed.
>
> The question producing ai doesn't work yet.
>
> I don't want to outlay the specifics to be laughed at by you or other
> readers before I stated: This was a one night experiment, not much thought
> was put into it.
>
>
>
>
> On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI <
> agi@agi.topicbox.com> wrote:
>
>> Uh... what? I thought it's a question producing AI
>>
>> On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann 
>> wrote:
>>
>>> It would be a library to be included in the server-side code as well
>>> as the client-side code.
>>>
>>> The library would plug into the error reporting/exception system of
>>> the technology used on the server-side or client-side.
>>>
>>> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>>>
>>>
>>> Then it would make a git diff when it reports a render or user
>>> action that happened without errors being thrown. When there is a diff
>>> (changes), it will make a git commit and tag it with (no_errors_server 
>>> and
>>> no_errors_client).
>>>
>>> The user can customize it to also save tagged commits when there is
>>> no error only on the server or client.
>>>
>>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>>

 --
 Stefan Reich
 BotCompany.de // Java-based operating systems

>>>
>>>
>>> --
>>> Stefan Reich
>>> BotCompany.de // Java-based operating systems
>>> *Artificial General Intelligence List *
>>> / AGI / see discussions  +
>>> participants  + delivery
>>> options  Permalink
>>> 
>>>

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[agi] LangLearn Language-Learning AGI Mind-Module

2019-10-17 Thread A.T. Murray
The purpose of the LangLearn language-learning module ranges from the small
chore of mimicking a novel syntactic construction for comprehension and
generation, up to the enormous task of learning an entire human language in
the same trial-and-error way as a human baby learns.

Algorithm of the LangLearn mind-module
In the first of two implementations envisioned for the LangLearn module,
the situation of encountering an unfamiliar chain of syntax will trigger a
flag that calls the LangLearn module to mimick the novel syntax. For
example, a phrase like "The more the merrier" might at first confuse and
confound an AI Mind, but the LangLearn module could habituate a template of
possible recognition of similar phrases in the future, such as "The bigger
they are, the harder they fall." Such a habituated template may be used for
both the comprehension and the generation of the novel syntax.

In the second of two potential implementations of the LangLearn module, an
AI program such as the ghost.pl AI Mind could use the Spawn module to
create a copy of itself enhanced with hardcoded syntax instead of merely
weighted elements on a syntactic chain of mind-modules.

Future Development
It may be possible to code a blank-slate AI Mind containing modules for all
possible parts of speech but no particular syntax governing the order of
appearance of the parts of speech in a sentence being generated. The
LangLearn module of such an empty Mind could perhaps learn an entire human
language through the same trial-and-error process by which a human baby
presumably learns language.

http://ai.neocities.org/LangLearn.html -- Language-Learning Mind Module

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
Oh, also big disclaimer: The initial email was sent on 16 october, but I
originally "sent" it a big while ago, just my mac email program wasn't
authenticated with google until 16. october.

That probably explains why I'm so lost in my own code.

On Fri, Oct 18, 2019 at 12:03 AM Manuel Korfmann  wrote:

> Ok, sorry for being overly sensitive. Did you see my last email before
> this one? I described it's functionality in the most simplest words I could
> find atm.
>
>
>
> On Fri, Oct 18, 2019 at 12:01 AM Stefan Reich via AGI <
> agi@agi.topicbox.com> wrote:
>
>> After all, you did post it
>>
>> On Thu, 17 Oct 2019 at 23:58, Stefan Reich <
>> stefan.reich.maker.of@googlemail.com> wrote:
>>
>>> There was no attack in what I posted whatsoever. I just wanted to know
>>> how your AI experiment works
>>>
>>> On Thu, 17 Oct 2019 at 23:52, Manuel Korfmann 
>>> wrote:
>>>
 Please be more specific in your questioning or less "ironic" when I
 don't correctly guess what you were questioning about.

 I assumed you were asking about the functionality of the versioning
 idea i proposed.

 The question producing ai doesn't work yet.

 I don't want to outlay the specifics to be laughed at by you or other
 readers before I stated: This was a one night experiment, not much thought
 was put into it.




 On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI <
 agi@agi.topicbox.com> wrote:

> Uh... what? I thought it's a question producing AI
>
> On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann 
> wrote:
>
>> It would be a library to be included in the server-side code as well
>> as the client-side code.
>>
>> The library would plug into the error reporting/exception system of
>> the technology used on the server-side or client-side.
>>
>> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>>
>>
>> Then it would make a git diff when it reports a render or user action
>> that happened without errors being thrown. When there is a diff 
>> (changes),
>> it will make a git commit and tag it with (no_errors_server and
>> no_errors_client).
>>
>> The user can customize it to also save tagged commits when there is
>> no error only on the server or client.
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
>
>>>
>>> --
>>> Stefan Reich
>>> BotCompany.de // Java-based operating systems
>>>
>>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>> *Artificial General Intelligence List *
>> / AGI / see discussions  +
>> participants  + delivery
>> options  Permalink
>> 
>>

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
Ok, sorry for being overly sensitive. Did you see my last email before this
one? I described it's functionality in the most simplest words I could find
atm.



On Fri, Oct 18, 2019 at 12:01 AM Stefan Reich via AGI 
wrote:

> After all, you did post it
>
> On Thu, 17 Oct 2019 at 23:58, Stefan Reich <
> stefan.reich.maker.of@googlemail.com> wrote:
>
>> There was no attack in what I posted whatsoever. I just wanted to know
>> how your AI experiment works
>>
>> On Thu, 17 Oct 2019 at 23:52, Manuel Korfmann  wrote:
>>
>>> Please be more specific in your questioning or less "ironic" when I
>>> don't correctly guess what you were questioning about.
>>>
>>> I assumed you were asking about the functionality of the versioning idea
>>> i proposed.
>>>
>>> The question producing ai doesn't work yet.
>>>
>>> I don't want to outlay the specifics to be laughed at by you or other
>>> readers before I stated: This was a one night experiment, not much thought
>>> was put into it.
>>>
>>>
>>>
>>>
>>> On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI <
>>> agi@agi.topicbox.com> wrote:
>>>
 Uh... what? I thought it's a question producing AI

 On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann 
 wrote:

> It would be a library to be included in the server-side code as well
> as the client-side code.
>
> The library would plug into the error reporting/exception system of
> the technology used on the server-side or client-side.
>
> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>
>
> Then it would make a git diff when it reports a render or user action
> that happened without errors being thrown. When there is a diff (changes),
> it will make a git commit and tag it with (no_errors_server and
> no_errors_client).
>
> The user can customize it to also save tagged commits when there is no
> error only on the server or client.
>


 --
 Stefan Reich
 BotCompany.de // Java-based operating systems

>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
> options  Permalink
> 
>

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
It's difficult to describe how it works, I would need more time for that
and probably a refactoring is needed before I can provide descriptions for
the different parts of the algorithm.


1. It creates a context (an array of words) based on text that is feed to
the algorithm initially
2. It pushes words to the end of the context almost randomly
3. It checks if the 10 last words of the context contain question words
4. when this check succeeded multiple times, it prints a question based on
these 10 last words in the context word array


neural network part: when adding a word at the end of the context word
array, a neural network decides between to words based on the first letter




On Thu, Oct 17, 2019 at 11:51 PM Manuel Korfmann  wrote:

> Please be more specific in your questioning or less "ironic" when I don't
> correctly guess what you were questioning about.
>
> I assumed you were asking about the functionality of the versioning idea i
> proposed.
>
> The question producing ai doesn't work yet.
>
> I don't want to outlay the specifics to be laughed at by you or other
> readers before I stated: This was a one night experiment, not much thought
> was put into it.
>
>
>
>
> On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI <
> agi@agi.topicbox.com> wrote:
>
>> Uh... what? I thought it's a question producing AI
>>
>> On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann  wrote:
>>
>>> It would be a library to be included in the server-side code as well as
>>> the client-side code.
>>>
>>> The library would plug into the error reporting/exception system of the
>>> technology used on the server-side or client-side.
>>>
>>> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>>>
>>>
>>> Then it would make a git diff when it reports a render or user action
>>> that happened without errors being thrown. When there is a diff (changes),
>>> it will make a git commit and tag it with (no_errors_server and
>>> no_errors_client).
>>>
>>> The user can customize it to also save tagged commits when there is no
>>> error only on the server or client.
>>>
>>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>> *Artificial General Intelligence List *
>> / AGI / see discussions  +
>> participants  + delivery
>> options  Permalink
>> 
>>

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Stefan Reich via AGI
After all, you did post it

On Thu, 17 Oct 2019 at 23:58, Stefan Reich <
stefan.reich.maker.of@googlemail.com> wrote:

> There was no attack in what I posted whatsoever. I just wanted to know how
> your AI experiment works
>
> On Thu, 17 Oct 2019 at 23:52, Manuel Korfmann  wrote:
>
>> Please be more specific in your questioning or less "ironic" when I don't
>> correctly guess what you were questioning about.
>>
>> I assumed you were asking about the functionality of the versioning idea
>> i proposed.
>>
>> The question producing ai doesn't work yet.
>>
>> I don't want to outlay the specifics to be laughed at by you or other
>> readers before I stated: This was a one night experiment, not much thought
>> was put into it.
>>
>>
>>
>>
>> On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI <
>> agi@agi.topicbox.com> wrote:
>>
>>> Uh... what? I thought it's a question producing AI
>>>
>>> On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann 
>>> wrote:
>>>
 It would be a library to be included in the server-side code as well as
 the client-side code.

 The library would plug into the error reporting/exception system of the
 technology used on the server-side or client-side.

 In my case, that would by Rails (Ruby) and JavaScript (Chrome).


 Then it would make a git diff when it reports a render or user action
 that happened without errors being thrown. When there is a diff (changes),
 it will make a git commit and tag it with (no_errors_server and
 no_errors_client).

 The user can customize it to also save tagged commits when there is no
 error only on the server or client.

>>>
>>>
>>> --
>>> Stefan Reich
>>> BotCompany.de // Java-based operating systems
>>>
>> *Artificial General Intelligence List *
>> / AGI / see discussions  +
>> participants  + delivery
>> options  Permalink
>> 
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
>


-- 
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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Stefan Reich via AGI
There was no attack in what I posted whatsoever. I just wanted to know how
your AI experiment works

On Thu, 17 Oct 2019 at 23:52, Manuel Korfmann  wrote:

> Please be more specific in your questioning or less "ironic" when I don't
> correctly guess what you were questioning about.
>
> I assumed you were asking about the functionality of the versioning idea i
> proposed.
>
> The question producing ai doesn't work yet.
>
> I don't want to outlay the specifics to be laughed at by you or other
> readers before I stated: This was a one night experiment, not much thought
> was put into it.
>
>
>
>
> On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI <
> agi@agi.topicbox.com> wrote:
>
>> Uh... what? I thought it's a question producing AI
>>
>> On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann  wrote:
>>
>>> It would be a library to be included in the server-side code as well as
>>> the client-side code.
>>>
>>> The library would plug into the error reporting/exception system of the
>>> technology used on the server-side or client-side.
>>>
>>> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>>>
>>>
>>> Then it would make a git diff when it reports a render or user action
>>> that happened without errors being thrown. When there is a diff (changes),
>>> it will make a git commit and tag it with (no_errors_server and
>>> no_errors_client).
>>>
>>> The user can customize it to also save tagged commits when there is no
>>> error only on the server or client.
>>>
>>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>>
> *Artificial General Intelligence List *
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> 
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[agi] Working program in Big Snakey (?) language

2019-10-17 Thread Stefan Reich via AGI
theory validity {
  // a human weighs between 80 and 400 pounds
  $x is a human
& $x weighs ($y pounds)
=> $y >= 80 & $y <= 400

  contradiction => say (That can't be right)
}

theory (weight change) {
  $x weighs ($y pounds) & last time $x weighed ($z pounds)
=> proc {
  if ($y < $z):
say (You lost weight)
  else if ($y > $z):
say (You gained weight)
  else:
say (You are stagnant)
}
}

theory (remember last weight) {
  $x weighs ($y pounds)
=> proc {
  delete all (last time $x weighed ($z pounds))
  store  (last time $x weighed ($y pounds))
}
}

theory (interpret input) {
  $x says (i weigh $y pounds)
=> $x weighs ($y pounds)

  $x says (my weight is $y pounds)
=> $x weighs ($y pounds)
}

[image: weight.png]

The Java part  is literally just the
language interpreter and chat glue code.

Cheers
Stefan

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
Please be more specific in your questioning or less "ironic" when I don't
correctly guess what you were questioning about.

I assumed you were asking about the functionality of the versioning idea i
proposed.

The question producing ai doesn't work yet.

I don't want to outlay the specifics to be laughed at by you or other
readers before I stated: This was a one night experiment, not much thought
was put into it.




On Thu, Oct 17, 2019 at 11:19 PM Stefan Reich via AGI 
wrote:

> Uh... what? I thought it's a question producing AI
>
> On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann  wrote:
>
>> It would be a library to be included in the server-side code as well as
>> the client-side code.
>>
>> The library would plug into the error reporting/exception system of the
>> technology used on the server-side or client-side.
>>
>> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>>
>>
>> Then it would make a git diff when it reports a render or user action
>> that happened without errors being thrown. When there is a diff (changes),
>> it will make a git commit and tag it with (no_errors_server and
>> no_errors_client).
>>
>> The user can customize it to also save tagged commits when there is no
>> error only on the server or client.
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List *
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> 
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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Stefan Reich via AGI
Uh... what? I thought it's a question producing AI

On Thu, 17 Oct 2019 at 22:47, Manuel Korfmann  wrote:

> It would be a library to be included in the server-side code as well as
> the client-side code.
>
> The library would plug into the error reporting/exception system of the
> technology used on the server-side or client-side.
>
> In my case, that would by Rails (Ruby) and JavaScript (Chrome).
>
>
> Then it would make a git diff when it reports a render or user action that
> happened without errors being thrown. When there is a diff (changes), it
> will make a git commit and tag it with (no_errors_server and
> no_errors_client).
>
> The user can customize it to also save tagged commits when there is no
> error only on the server or client.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
> options  Permalink
> 
>


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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
It would be a library to be included in the server-side code as well as the
client-side code.

The library would plug into the error reporting/exception system of the
technology used on the server-side or client-side.

In my case, that would by Rails (Ruby) and JavaScript (Chrome).


Then it would make a git diff when it reports a render or user action that
happened without errors being thrown. When there is a diff (changes), it
will make a git commit and tag it with (no_errors_server and
no_errors_client).

The user can customize it to also save tagged commits when there is no
error only on the server or client.

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Stefan Reich via AGI
How would it work then

On Thu, 17 Oct 2019 at 15:11, Manuel Korfmann  wrote:

> Sadly they don't have versioning yet.
>
> Fixing it back to the working version would be a lot of effort.
>
> Finishing it as well...
>
> On Thu, Oct 17, 2019 at 12:01 PM Stefan Reich via AGI <
> agi@agi.topicbox.com> wrote:
>
>> Can't you fix it? Do they have versioning?
>>
>> On Wed, 16 Oct 2019 at 16:20, Manuel Korfmann  wrote:
>>
>>> Oh, it's currently failing, sorry about that.
>>>
>>> On Wed, Oct 16, 2019 at 4:18 PM Manuel Korfmann 
>>> wrote:
>>>
 Click on "Run" and observe the log output on the right side of the
 screen.

 On Wed, Oct 16, 2019 at 4:13 PM Stefan Reich via AGI <
 agi@agi.topicbox.com> wrote:

> How do I use it?
>
> # 15 implement Numenta HTM
>
> Numenta was impressive stuff back in the day.
>
> On Wed, 16 Oct 2019 at 12:35, Manuel Korfmann 
> wrote:
>
>> https://repl.it/@LemonAndroid/SphericalSurprisedKnowledge
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>>
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
> options  Permalink
> 
>


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Stefan Reich
BotCompany.de // Java-based operating systems

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
Is HTM exactly like deep learning?

Btw: What do you people think of a source code versioning system, that
automatically saves tagged versions when the program is run by the
developer and no errors are in the web server terminal log + in the
javascript browser console log?


PS

Grammar.ly shows me the tone of this email is "informal" and symbolizes
this using an emoji of a bluejeans.

On Thu, Oct 17, 2019 at 7:43 PM Robert Levy  wrote:

> There was also that other big wave of neural nets in the pre-history of AI
> that hit a wall because backprop was not known yet.
>
> On Thu, Oct 17, 2019 at 10:40 AM Robert Levy  wrote:
>
>> More like it was a deep learning sort of thing before deep learning was
>> that big.  Neural nets were pretty big in the 90s don't forget.
>>
>> On Wed, Oct 16, 2019 at 7:40 AM Stefan Reich via AGI <
>> agi@agi.topicbox.com> wrote:
>>
>>> I think it just came out before neural networks were that big. I
>>> remember running their demo and being quite impressed.
>>>
>>> On Wed, 16 Oct 2019 at 16:38,  wrote:
>>>
 HTM is just another neural network imo,  doesnt do anything different
 really,  but it is a specific implementation of it.

>>>
>>>
>>> --
>>> Stefan Reich
>>> BotCompany.de // Java-based operating systems
>>>
>> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
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> 
>

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Robert Levy
There was also that other big wave of neural nets in the pre-history of AI
that hit a wall because backprop was not known yet.

On Thu, Oct 17, 2019 at 10:40 AM Robert Levy  wrote:

> More like it was a deep learning sort of thing before deep learning was
> that big.  Neural nets were pretty big in the 90s don't forget.
>
> On Wed, Oct 16, 2019 at 7:40 AM Stefan Reich via AGI 
> wrote:
>
>> I think it just came out before neural networks were that big. I remember
>> running their demo and being quite impressed.
>>
>> On Wed, 16 Oct 2019 at 16:38,  wrote:
>>
>>> HTM is just another neural network imo,  doesnt do anything different
>>> really,  but it is a specific implementation of it.
>>>
>>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>> *Artificial General Intelligence List *
>> / AGI / see discussions  +
>> participants  + delivery
>> options  Permalink
>> 
>>

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Robert Levy
More like it was a deep learning sort of thing before deep learning was
that big.  Neural nets were pretty big in the 90s don't forget.

On Wed, Oct 16, 2019 at 7:40 AM Stefan Reich via AGI 
wrote:

> I think it just came out before neural networks were that big. I remember
> running their demo and being quite impressed.
>
> On Wed, 16 Oct 2019 at 16:38,  wrote:
>
>> HTM is just another neural network imo,  doesnt do anything different
>> really,  but it is a specific implementation of it.
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
> options  Permalink
> 
>

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Re: [agi] RIP Jacques Pitrat

2019-10-17 Thread Nanograte Knowledge Technologies
A great mind. RIP


From: Basile Starynkevitch 
Sent: Thursday, 17 October 2019 16:34
To: AGI 
Subject: [agi] RIP Jacques Pitrat

Jacques Pitrat was an AI and AGI pioneer in France. He passed away on
October 14th 2019.

His blog is available on
http://bootstrappingartificialintelligence.fr/WordPress3/

People here could also be interested by


@Article{Pitrat:1996:FGCS,
   title = "Implementation of a reflective system",
   journal = "Future Generation Computer Systems",
   volume = 12,
   number = 2,
   pages = "235 - 242",
   year = 1996,
   issn = "0167-739X",
   doi = "https://doi.org/10.1016/0167-739X(96)00011-8",
   url =
"http://www.sciencedirect.com/science/article/pii/0167739X96000118";,
   author = "Jacques Pitrat",
   keywords = "Reflectivity, Metaknowledge, Bootstrap"
}


@TechReport{Pitrat:2009:AST,
   title = {A Step toward an Artificial Artificial Intelligence
   Scientist},
   author = {Jacques Pitrat},
   url =
{https://pdfs.semanticscholar.org/2117/9600b3f05c0af399f9acbfc6e7b6d24daf03.pdf},
   institution = {CNRS and LIP6 Université Paris},
   year = 2009
}

@Book{Pitrat:2009:ArtifBeings,
   author = {Pitrat, Jacques},
   title = {Artificial Beings: The Conscience of a Conscious
   Machine},
   year = 2009,
   isbn = {978-1-848-21101-8},
   publisher = {Wiley ISTE}
}

--
Basile STARYNKEVITCH   == http://starynkevitch.net/Basile
opinions are mine only - les opinions sont seulement miennes
Bourg La Reine, France; 
(mobile phone: cf my web page / voir ma page web...)


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[agi] RIP Jacques Pitrat

2019-10-17 Thread Basile Starynkevitch
Jacques Pitrat was an AI and AGI pioneer in France. He passed away on 
October 14th 2019.


His blog is available on 
http://bootstrappingartificialintelligence.fr/WordPress3/


People here could also be interested by


@Article{Pitrat:1996:FGCS,
  title =     "Implementation of a reflective system",
  journal =     "Future Generation Computer Systems",
  volume =     12,
  number =     2,
  pages =     "235 - 242",
  year =     1996,
  issn =     "0167-739X",
  doi =         "https://doi.org/10.1016/0167-739X(96)00011-8",
  url =
"http://www.sciencedirect.com/science/article/pii/0167739X96000118";,
  author =     "Jacques Pitrat",
  keywords =     "Reflectivity, Metaknowledge, Bootstrap"
}


@TechReport{Pitrat:2009:AST,
  title =     {A Step toward an Artificial Artificial Intelligence
  Scientist},
  author =     {Jacques Pitrat},
  url =
{https://pdfs.semanticscholar.org/2117/9600b3f05c0af399f9acbfc6e7b6d24daf03.pdf},
  institution =     {CNRS and LIP6 Université Paris},
  year =     2009
}

@Book{Pitrat:2009:ArtifBeings,
  author =     {Pitrat, Jacques},
  title =     {Artificial Beings: The Conscience of a Conscious
  Machine},
  year =     2009,
  isbn =     {978-1-848-21101-8},
  publisher =     {Wiley ISTE}
}

--
Basile STARYNKEVITCH   == http://starynkevitch.net/Basile
opinions are mine only - les opinions sont seulement miennes
Bourg La Reine, France; 
(mobile phone: cf my web page / voir ma page web...)


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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Manuel Korfmann
Sadly they don't have versioning yet.

Fixing it back to the working version would be a lot of effort.

Finishing it as well...

On Thu, Oct 17, 2019 at 12:01 PM Stefan Reich via AGI 
wrote:

> Can't you fix it? Do they have versioning?
>
> On Wed, 16 Oct 2019 at 16:20, Manuel Korfmann  wrote:
>
>> Oh, it's currently failing, sorry about that.
>>
>> On Wed, Oct 16, 2019 at 4:18 PM Manuel Korfmann 
>> wrote:
>>
>>> Click on "Run" and observe the log output on the right side of the
>>> screen.
>>>
>>> On Wed, Oct 16, 2019 at 4:13 PM Stefan Reich via AGI <
>>> agi@agi.topicbox.com> wrote:
>>>
 How do I use it?

 # 15 implement Numenta HTM

 Numenta was impressive stuff back in the day.

 On Wed, 16 Oct 2019 at 12:35, Manuel Korfmann 
 wrote:

> https://repl.it/@LemonAndroid/SphericalSurprisedKnowledge
>


 --
 Stefan Reich
 BotCompany.de // Java-based operating systems

>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
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> 
>

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Re: [agi] Ruby Question producing AI without neural networks (just plain coding)

2019-10-17 Thread Stefan Reich via AGI
Can't you fix it? Do they have versioning?

On Wed, 16 Oct 2019 at 16:20, Manuel Korfmann  wrote:

> Oh, it's currently failing, sorry about that.
>
> On Wed, Oct 16, 2019 at 4:18 PM Manuel Korfmann 
> wrote:
>
>> Click on "Run" and observe the log output on the right side of the screen.
>>
>> On Wed, Oct 16, 2019 at 4:13 PM Stefan Reich via AGI <
>> agi@agi.topicbox.com> wrote:
>>
>>> How do I use it?
>>>
>>> # 15 implement Numenta HTM
>>>
>>> Numenta was impressive stuff back in the day.
>>>
>>> On Wed, 16 Oct 2019 at 12:35, Manuel Korfmann 
>>> wrote:
>>>
 https://repl.it/@LemonAndroid/SphericalSurprisedKnowledge

>>>
>>>
>>> --
>>> Stefan Reich
>>> BotCompany.de // Java-based operating systems
>>>
>> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
> options  Permalink
> 
>


-- 
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