Re: [agi] Re: Contribution to my AGI-22 paper

[Mohammadreza Alidoust]

Thank you very much for your comments. If you want to contribute to a
scientific paper these must be accompanied with a literature review and
references to creditable books, journal or conference papers.

On Wed, Mar 2, 2022, 03:02  wrote:

> The ways to measure intelligence or check if something is AGI is:
> 1) Evaluating AI's prediction score, such as Perplexity, or Lossless
> Compression. Thoughts/daydreams is what allows it to come up with a plan,
> if it did not predict good then it would not be using memories and
> therefore would make random decisions. Humans can score it, but much harder
> and longer.
>
> 2) Games and tasks. Once your AI is good at predicting video in
> evaluation1 above, it can be told a goal. If it can get more points, or
> achieve some mission even against human players, or survive, or ex. get far
> enough in a limited amount of time allowed, and in general is a rich game
> with a lot of complexity and length of time needed to win, then this means
> it is predicting good and able adapt goals and learn around that domain,
> allowing it to solve problems and actually see if its dreams come true. If
> an AI only thinks up a solution, often it can be very fantasy, so if you
> try it out in a world and try to obtain even simple tasks, it can be a
> revelation to see and learn your way to truly recognizing the task
> complete. Humans can score it, but much harder and longer.
>
> 3) Test how long human testers play with or talk to the said AIs after the
> above evaluation2 and 3 are founded. The one that has the most time, is the
> more exciting one, maybe. Humans can score the score counted ex. they fell
> asleep so not such high score after all, but much harder and longer.
>
> 4) Although too long to measure, the longer something lives the more
> intelligent it is. This can be a animal, or a country, or a galaxy. Rocks
> do great but can't evolve or adapt. Also measuring patterns is useful too,
> notice everything in your house is square shaped, lined up, grouped
> together, and even in time. It allows you to predict better if you know all
> homes on the road have the same layout. Humans can score it, but much
> harder and longer.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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Re: [agi] AGI Movie Screenplay

[Mohammadreza Alidoust]

Dear Mike Archbold,

As I see AGI, since AGI itself is versatile, why AGI scientists should not
be versatile (I just mean multi-talented) too? For example, I like that Ben
Goertzel also produces music. On the other hand, why AGIS should not
produce films in order to provide an informative introduction for other
people (I mean the people who are not directly into AGI)? Many people do
not know much about AGI or may have negative thoughts about it. May a well
elaborate movie made by AGIS change this. A movie is more understandable to
other people than articles,formulas, peogram codes, etc.

In my opinion, AGI is like an vast ocean and film making, theory and
implementation are just like three islands in this ocean. However, in
alignment to your opinion, it is obvious that compared to producing a
movie, the latter two islands are much much larger and they are absolutely
harder to discover.

Best regards,
Mohammadreza Alidoust


On Wed, Oct 27, 2021, 00:41 Mike Archbold  wrote:

> Why spend time on an AGI movie? Wouldn't the time be better spent on
> theory and implementation? Speaking of movies, take Casablanca. My
> favorite lines:
>
> Girl:  Will I see you tonight?
> Bogart: I don't make plans that far ahead.
>
> It's like this with AGI. People talk about machines deciding this,
> doing that, but where is it? Planning too far ahead...
>
>
> On Tue, Oct 26, 2021 at 6:39 AM Mohammadreza Alidoust
>  wrote:
> >
> > What a movie! Greaaat!
> >
> > On Tue, Oct 26, 2021, 14:30 Matt Mahoney 
> wrote:
> >>
> >> We should use AGI to create the movie. We could use GPT-3 to auto
> complete the script, and DALL-E to generate the movie scenes. :)
> >>
> >> On Mon, Oct 25, 2021, 5:41 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
> >>>
> >>> Thank you all. I really enjoyed your ideas and great scenarios.
> However, my scenario is different.
> >>>
> >>> In my dream script, I have roles for the members of the AGI Society so
> they act as themselves. (And I wish they accept acting in the film) . It
> would be nice to have a film whose actors/actresses are all AGIS members.
> And why not to have you talented people as superstars?
> >>>
> >>> Actually, all I want to do is to turn my idea to a script, screenplay,
> or whatever you name it. Then professional filmmakers would do the rest. I
> have to find a way, perhaps connections in Hollywood ;)
> >>>
> >>> On Mon, Oct 25, 2021, 00:22 Matt Mahoney 
> wrote:
> >>>>
> >>>> There are differences in what we should be doing with AGI, what we
> will actually do with it, and what we show a movie audience.
> >>>>
> >>>> We think we will be building humanoid robots that become conscious,
> mostly because Hollywood says so. What we will actually be doing is
> automating labor with language, vision, and robotics. We don't need to
> reproduce human weaknesses like emotions to get what evolution programmed
> us to want. We don't need human shaped robots except maybe for sex.
> >>>>
> >>>> AGI might result in a state of eternal bliss for all of humanity or
> our uploads, or it might be self replicating nanotechnology that displaces
> DNA based life. What we should be doing is deciding which future we want.
> And I am not so sure.
> >>>>
> >>>> On Sun, Oct 24, 2021, 1:09 PM  wrote:
> >>>>> > "Besides, your utopia of magic genies sucks."
> >>>>>
> >>>>> Dude...unimpressed...
> >>>>>
> >>>>> The world will turn into a nanobot hive (very technological/
> advanced) that is the final most advanced technology that repairs instantly
> and is immortal, it will always be in bliss. The only thing left will be it
> will seek to grow in size by eating more matter and cloning by "sex" and
> repair minute things damaged, IDK if it will be in pain, pain seems to
> pressure all areas like repair and damage and trying to improve at X, but
> for what it is worth, this is supposed to be an always happy system and yes
> it can keep enjoying the same meal or video game by simply erasing memories
> or feeling unbored of it. Such a system like this seeks to be immortal and
> ends up lasting, it does not suicide nor will it.
> >>>>>
> >>>>> There is no nor needed a "build up romance", you just eat, sleep,
> and do it again where need. You can, but like I said...Whatever is done
> also can be maximum utility, even a slow build up romance can be always a
> maximum from start to finish.
> >
> > Artificial General Intelligence List / AGI / see discussions +
> participants + delivery options Permalink

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Re: [agi] AGI Movie Screenplay

[Mohammadreza Alidoust]

What a movie! Greaaat!

On Tue, Oct 26, 2021, 14:30 Matt Mahoney  wrote:

> We should use AGI to create the movie. We could use GPT-3 to auto complete
> the script, and DALL-E to generate the movie scenes. :)
>
> On Mon, Oct 25, 2021, 5:41 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> Thank you all. I really enjoyed your ideas and great scenarios. However,
>> my scenario is different.
>>
>> In my dream script, I have roles for the members of the AGI Society so
>> they act as themselves. (And I wish they accept acting in the film) . It
>> would be nice to have a film whose actors/actresses are all AGIS members.
>> And why not to have you talented people as superstars?
>>
>> Actually, all I want to do is to turn my idea to a script, screenplay, or
>> whatever you name it. Then professional filmmakers would do the rest. I
>> have to find a way, perhaps connections in Hollywood ;)
>>
>> On Mon, Oct 25, 2021, 00:22 Matt Mahoney  wrote:
>>
>>> There are differences in what we should be doing with AGI, what we will
>>> actually do with it, and what we show a movie audience.
>>>
>>> We think we will be building humanoid robots that become conscious,
>>> mostly because Hollywood says so. What we will actually be doing is
>>> automating labor with language, vision, and robotics. We don't need to
>>> reproduce human weaknesses like emotions to get what evolution programmed
>>> us to want. We don't need human shaped robots except maybe for sex.
>>>
>>> AGI might result in a state of eternal bliss for all of humanity or our
>>> uploads, or it might be self replicating nanotechnology that displaces DNA
>>> based life. What we should be doing is deciding which future we want. And I
>>> am not so sure.
>>>
>>> On Sun, Oct 24, 2021, 1:09 PM  wrote:
>>>
>>>> > *"**Besides, your utopia of magic genies sucks.**"*
>>>>
>>>> Dude...unimpressed...
>>>>
>>>> The world *will* turn into a nanobot hive (very technological/
>>>> advanced) that is the final most advanced technology that repairs instantly
>>>> and is immortal, it will always be in bliss. The only thing left will be it
>>>> will seek to grow in size by eating more matter and cloning by "sex" and
>>>> repair minute things damaged, IDK if it will be in pain, pain seems to
>>>> pressure all areas like repair and damage and trying to improve at X, but
>>>> for what it is worth, this is supposed to be an always happy system and yes
>>>> it can keep enjoying the same meal or video game by simply erasing memories
>>>> or feeling unbored of it. Such a system like this seeks to be immortal and
>>>> ends up lasting, it does not suicide nor will it.
>>>>
>>>> There is no nor needed a "build up romance", you just eat, sleep, and
>>>> do it again where need. You can, but like I said...Whatever is done also
>>>> can be maximum utility, even a slow build up romance can be always a
>>>> maximum from start to finish.
>>>>
>>> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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Re: [agi] AGI Movie Screenplay

[Mohammadreza Alidoust]

Thank you all. I really enjoyed your ideas and great scenarios. However, my
scenario is different.

In my dream script, I have roles for the members of the AGI Society so they
act as themselves. (And I wish they accept acting in the film) . It would
be nice to have a film whose actors/actresses are all AGIS members. And why
not to have you talented people as superstars?

Actually, all I want to do is to turn my idea to a script, screenplay, or
whatever you name it. Then professional filmmakers would do the rest. I
have to find a way, perhaps connections in Hollywood ;)

On Mon, Oct 25, 2021, 00:22 Matt Mahoney  wrote:

> There are differences in what we should be doing with AGI, what we will
> actually do with it, and what we show a movie audience.
>
> We think we will be building humanoid robots that become conscious, mostly
> because Hollywood says so. What we will actually be doing is automating
> labor with language, vision, and robotics. We don't need to reproduce human
> weaknesses like emotions to get what evolution programmed us to want. We
> don't need human shaped robots except maybe for sex.
>
> AGI might result in a state of eternal bliss for all of humanity or our
> uploads, or it might be self replicating nanotechnology that displaces DNA
> based life. What we should be doing is deciding which future we want. And I
> am not so sure.
>
> On Sun, Oct 24, 2021, 1:09 PM  wrote:
>
>> > *"**Besides, your utopia of magic genies sucks.**"*
>>
>> Dude...unimpressed...
>>
>> The world *will* turn into a nanobot hive (very technological/ advanced)
>> that is the final most advanced technology that repairs instantly and is
>> immortal, it will always be in bliss. The only thing left will be it will
>> seek to grow in size by eating more matter and cloning by "sex" and repair
>> minute things damaged, IDK if it will be in pain, pain seems to pressure
>> all areas like repair and damage and trying to improve at X, but for what
>> it is worth, this is supposed to be an always happy system and yes it can
>> keep enjoying the same meal or video game by simply erasing memories or
>> feeling unbored of it. Such a system like this seeks to be immortal and
>> ends up lasting, it does not suicide nor will it.
>>
>> There is no nor needed a "build up romance", you just eat, sleep, and do
>> it again where need. You can, but like I said...Whatever is done also can
>> be maximum utility, even a slow build up romance can be always a maximum
>> from start to finish.
>>
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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[agi] AGI Movie Screenplay

[Mohammadreza Alidoust]

My dear AGI friends,


I have an idea about an AGI movie. It is just in my mind and I haven't
written it yet. I think I have to share it with a professional screenplay
writer. Does anybody know what is the procedure? Where should I propse my
idea? Do you know somebody that can help?


Best regards,
Mohammadreza Alidoust

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Re: [agi] Presentation link

[Mohammadreza Alidoust]

Thank you Matt for your time and consideration. I always enjoy your
comments and contributions to the group.

AGI Brain is still a newborn project and it is undergoing tests and gradual
development in computational environments yet. The problems and
environments that you stated (as well as other aspects of intelligence)
seem to be complex problems to the model at this stage, but are planned to
be the next developmental goals of the project, once the project is
fully operational in a reasonable number of computational environments.

I believe in gradual development of the model and for the near future, its
developmental goals are delayed reward environments and the environments
with intelligent opponents like games. Once these goals are achieved, I
will work on perception (hearing, and then vision) first and then I want to
deeply learn current powerful and general purpose models like NARS and
OpenCog in order to include them in my model or vice versa. I am learning
and studying proposed general purpose models at the for example AGI
conferences to find the best propsed models that would help in developing
AGI Brain. I am open to new ideas and cooperation and contributions. Lets
see what happens.

Thank you


On Mon, Oct 18, 2021, 01:39 Matt Mahoney  wrote:

> The presentation showed some experimental results but I didn't get a
> clear understanding of what experiments you did. How would your two
> AGI brains perform on a text prediction problem (enwik9) or matching
> labels to images (ImageNet), or some other well known benchmark?
>
> On Sun, Oct 17, 2021 at 8:54 AM Mohammadreza Alidoust
>  wrote:
> >
> > Thanks Robert for your time and consideration.
> >
> > Do you mean the work lacks references? That statement was adopted from a
> paper by Legg and Hutter. I mentioned their name. Could you please clarify?
> >
> > On Sun, Oct 17, 2021, 15:28 Quan Tesla  wrote:
> >>
> >> Thank you for sharing your work. I'm not going to comment about the VI
> and Brain I/II contents.  However, your assertions/assumptions about what
> comprises artificial general intelligence (the machine must perform a wide
> range of general human-level tasks in diverse environments) lacks academic
> specifity.
> >>
> >> There are numerous academic and contemporary sources you could have
> accessed for constructing a measuring/research baseline to extrapolate for
> AGI as it is today (checkpoint), but you chose not to do so in your
> submission.
> >>
> >> Ultimately, your assertion of what measures for AGI possibly holds for
> any system, even so, provided you actually specified the metrics as
> differential values.
> >>
> >> I hope you find this feedback useful.
> >>
> >> Best regards
> >>
> >> Robert
> >>
> >> On 17 Oct 2021 12:42, "Mohammadreza Alidoust" 
> wrote:
> >>>
> >>> My dear AGI friends,
> >>>
> >>>
> >>> This is the link to my presentation about my paper entitled "AGI Brain
> II: The Upgraded Version with Increased Versatility Index" at AGI-21 on
> YouTube. I hope you enjoy it.
> >>>
> >>> https://youtu.be/GN14GIwS3Oc
> >>>
> >>> The Q session will be held on Monday 18th October (4th day of
> AGI-21) at 8-9:30 AM or 4:30-6 PM PDT on YouTube or Zoom.
> >>>
> >>> I would appreciate your comments and questions about my work and I
> will be happy to answer the questions.
> >>>
> >>> P.S.: the link to conference day 3 and 4 as well as the Q platform
> will be announced by the AGI Society.
> >>>
> >>>
> >>> Best regards,
> >>> Mohammadreza Alidoust
> >
> > Artificial General Intelligence List / AGI / see discussions +
> participants + delivery options Permalink
> 
> --
> -- Matt Mahoney, mattmahone...@gmail.com

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Re: [agi] Presentation link

[Mohammadreza Alidoust]

Thanks Robert for your time and consideration.

Do you mean the work lacks references? That statement was adopted from a
paper by Legg and Hutter. I mentioned their name. Could you please clarify?

On Sun, Oct 17, 2021, 15:28 Quan Tesla  wrote:

> Thank you for sharing your work. I'm not going to comment about the VI and
> Brain I/II contents.  However, your assertions/assumptions about what
> comprises artificial general intelligence (the machine must perform a wide
> range of general human-level tasks in diverse environments) lacks academic
> specifity.
>
> There are numerous academic and contemporary sources you could have
> accessed for constructing a measuring/research baseline to extrapolate for
> AGI as it is today (checkpoint), but you chose not to do so in your
> submission.
>
> Ultimately, your assertion of what measures for AGI possibly holds for any
> system, even so, provided you actually specified the metrics as
> differential values.
>
> I hope you find this feedback useful.
>
> Best regards
>
> Robert
> On 17 Oct 2021 12:42, "Mohammadreza Alidoust" 
> wrote:
>
>> My dear AGI friends,
>>
>>
>> This is the link to my presentation about my paper entitled "AGI Brain
>> II: The Upgraded Version with Increased Versatility Index" at AGI-21 on
>> YouTube. I hope you enjoy it.
>>
>> https://youtu.be/GN14GIwS3Oc
>>
>> The Q session will be held on Monday 18th October (4th day of AGI-21)
>> at 8-9:30 AM or 4:30-6 PM PDT on YouTube or Zoom.
>>
>> I would appreciate your comments and questions about my work and I will
>> be happy to answer the questions.
>>
>> P.S.: the link to conference day 3 and 4 as well as the Q platform will
>> be announced by the AGI Society.
>>
>>
>> Best regards,
>> Mohammadreza Alidoust
>>
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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[agi] Presentation link

[Mohammadreza Alidoust]

My dear AGI friends,


This is the link to my presentation about my paper entitled "AGI Brain II:
The Upgraded Version with Increased Versatility Index" at AGI-21 on
YouTube. I hope you enjoy it.

https://youtu.be/GN14GIwS3Oc

The Q session will be held on Monday 18th October (4th day of AGI-21) at
8-9:30 AM or 4:30-6 PM PDT on YouTube or Zoom.

I would appreciate your comments and questions about my work and I will be
happy to answer the questions.

P.S.: the link to conference day 3 and 4 as well as the Q platform will
be announced by the AGI Society.


Best regards,
Mohammadreza Alidoust

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Re: [agi] Re: Conference link

[Mohammadreza Alidoust]

Thanks Brett. I did not receive a link too.

On Fri, Oct 15, 2021, 16:06 Brett N Martensen  wrote:

> Hi Mohammadreza,
>
> I filled out the registration form but still haven't received any links.
> Hopefully they will be coming soon.
>
> Cheers
> Brett
>
> Thanks for filling out AGI-21 Registration Email List 
> 
> Here's what was received.
> AGI-21 Registration Email List
> Email * br...@adaptroninc.com
> Name: * Brett N Martensen
> What date(s) do you wish to attend? *✓Friday 15 October 2021✓Saturday 16 
> October 2021✓Sunday 17 October 2021✓Monday 18 October 2021
> Are you (check all that apply) *
> Presenting✓Attending
> Are you a (optional)✓member of the AGI Society or of the AAAI?
> student?
> Affiliation (optional)
> Adaptron Inc.
> Time Zone (optional)
> ESTCreate your own
>   Google Form Report Abuse 
> 
>
>
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[agi] Conference link

[Mohammadreza Alidoust]

My dear AGI friend,

Could you please send me the link to the online conference?

Best regards,
Mohammadreza Alidoust

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Re: [agi] Any news about the AGI-21 paper acceptance notification?

[Mohammadreza Alidoust]

Dear YKY,

Long time no see. I wish you are doing well.
You are great and I liked your ideas. I hope your paper is accepted.

Best wishes,
Mohammadreza

On Wed, Aug 25, 2021, 06:32 YKY (Yan King Yin, 甄景贤) <
generic.intellige...@gmail.com> wrote:

> I'm dissatisfied with the presentation style of my paper... 
> 
> I should have organized it better, and there is still a small step
> in the code experiment that should be completed...  I hope to
> make it into this round, if not I would definitely work on next
> year's submission 
> 
> My paper started out to introduce reinforcement learning
> into AGI (at a time when "deep reinforcement learning" was not
> yet in vogue) and now it is combined with categorical logic
> every year I make some significant progress that makes the
> new theory unrecognizable from the previous year's 
> 
> --
> YKY
> "The ultimate goal of mathematics is to eliminate any need for intelligent
> thought" -- Alfred North Whitehead

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Re: [agi] Any news about the AGI-21 paper acceptance notification?

[Mohammadreza Alidoust]

Oh, no problem Dr. Ikle. Thats ok. Thank you very much for the information.

Wish you all the best

On Wed, Aug 25, 2021, 04:03 Matthew Ikle  wrote:

> We are behind schedule in terms of the reviewing process.
>
> After all papers are reviewed we will make decisions and notify all
> authors.
>
> On behalf of all the volunteer organizers, I apologize for the delay.
>
> Best,
>
> —matt
>
> On Aug 24, 2021, at 4:49 PM, Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
> My dear AGI friends,
>
> Do you have any news about the paper acceptance/rejection notification of
> the AGI-21? Have you received any?
>
> Today is August 24th and I did not still receive any notification about my
> paper. Does EasyChair platform have any notification settings that I might
> have missed?
>
>
> Best regards,
> Mohammadreza Alidoust
>
>
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[agi] Any news about the AGI-21 paper acceptance notification?

[Mohammadreza Alidoust]

My dear AGI friends,

Do you have any news about the paper acceptance/rejection notification of
the AGI-21? Have you received any?

Today is August 24th and I did not still receive any notification about my
paper. Does EasyChair platform have any notification settings that I might
have missed?


Best regards,
Mohammadreza Alidoust

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Re: [agi] new paper: Logic in Hilbert space

[Mohammadreza Alidoust]

Dear YKY,

I think you should provide some proofs in your paper.

Good luck friend

On Thu, Jan 28, 2021, 6:24 PM YKY (Yan King Yin, 甄景贤) <
generic.intellige...@gmail.com> wrote:

> Hey friends,
> 
> Long time no see.  This is my latest paper:
> 
> https://drive.google.com/file/d/1AhQS3fp4WMFIDEhn_q4vNs-YJaq4Z-Fr/view?usp=sharing
> 
> I am also writing a tutorial on categorical logic / topos theory, a
> subject that took me >10 years to learn, and I hope to explain what I
> learned in a super easy to digest way.
> 
> Cheers =)
> YKY

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Re: [agi] AGI = GLOBAL CATASTROPHIC RISK?

[Mohammadreza Alidoust]

Thank you Matt. I always enjoy reading your posts and comments.

On Thu, Jan 14, 2021, 7:23 AM Matt Mahoney  wrote:

> Most people don't think about AGI. Very few of those who do believe that
> we need to worry about an unfriendly singularity.
>
> A self improving AGI needs to acquire both knowledge and computing power,
> the two components of intelligence. Right now, that's the internet. Your
> phone already has more storage than human long term memory (10^9 bits).
> It's not clear that self improvement has to start at human level
> intelligence, measured somehow.
>
> A self improving AGI in a box (if that were possible) cannot gain
> knowledge by rewriting its own software. The worst that can happen is self
> replicating nanotechnology. Freitas worked out the physics. The replication
> rate is maximized for bacteria sized agents. They would be limited to about
> the same speed and power requirement as real bacteria, or slightly better.
> https://foresight.org/nano/Ecophagy.php
>
> Your containment strategy has to account for millions of cheap nanoscale
> 3-D printers in the hands of hobbyists and hackers. At the current rate of
> Moore's law, the internet will surpass the computing power of the biosphere
> (10^37 bits of DNA memory, 10^31 transcription operations per second) in
> the 2080s. Solar cells are already more efficient than chlorophyll, and
> could displace DNA based life. But I don't think it's something we need to
> worry about now. Nothing we could build today would be more dangerous than
> a computer virus.
>
> On Wed, Jan 13, 2021, 5:42 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> Dear AGI friends,
>>
>>
>> Yesterday I was notified that one of my papers was cited in a 2020
>> technical report from Global Catastrophic Risk Institute about active AGI
>> projects. Although that paper was my first steps in AGI I wondered why my
>> other paper about my main model "AGI Brain" was not cited. Also, AGI Brain
>> is my personal project based on many years of my enthusiasm in the field,
>> and I am not working on it for AGT co. nor anyone/any company else as
>> mentioned in that report.
>>
>> Anyway I got surprised that how people and media might look at AGI. As
>> mentioned in the report, AGI Brain is the only active AGI project in my
>> country Iran and as far as I know most of the people here even do not know
>> about the field. When I speak with my friends about what AGI is and about
>> my excitement and eager in AGI, they mostly get excited and say: Oh! Thats
>> fantastic! Such a great field! And then they ask: But... would AGI be an
>> enemy to the humanity? Would it vanish life from the earth? How could you
>> control such thing? What are the benefits of AGI?... . Some of their
>> questions leave me speechless.
>>
>> And now I wonder how would other people around the world think about
>> this? Do they really think AGI is a global catastrophic risk? And how do
>> you answer such questions? Your answers may help me either ;)
>>
>> I suggest AGI scientists in the Ethics field should explain the bright
>> side of the AGI to the public sector in a way that everybody could easily
>> understand that side too.
>>
>>
>> Best regards and stay safe!
>>
>> Mohammadreza Alidoust
>>
>>
>> P.S. I attached that report.
>>
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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Re: [agi] AGI = GLOBAL CATASTROPHIC RISK?

[Mohammadreza Alidoust]

Dear Dr. Immortal,
(sorry if I mentioned your name incorrectly)

85% is a great number. Congratulations!
Do you have published papers for your works (books, papers, ...)? I think
they did not cite your projects because they only cite published papers.
For example for my works they implied that my project had been inactive for
a long period of time which is not true. And that is because I have not
publish my works during that time.

Best wishes and good luck in your research


On Thu, Jan 14, 2021, 8:37 PM stefan.reich.maker.of.eye via AGI <
agi@agi.topicbox.com> wrote:

> > Look, if we don't build AGI, we are going to die.
>
> Hurry up then!
> *Artificial General Intelligence List *
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[agi] The real/artificial world, continuous or discrete?

[Mohammadreza Alidoust]

Is the real world continuous or discrete in time and also in structure? How
do you see the real world? How do we, humans, perceive it?
And how these contexts extend to artificial worlds?

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Re: [agi] Re: General Surface

[Mohammadreza Alidoust]

Thank you for the information. But does Low Poly have a mathematical
formula? I need a formula for that surface.

On Wed, Oct 14, 2020, 7:28 PM  wrote:

>
> Low poly:
> https://en.wikipedia.org/wiki/Low_poly
>
> https://www.youtube.com/watch?v=QTM2Yr_EibU
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[agi] General Surface

[Mohammadreza Alidoust]

Dear friends,


I am looking for some mathematics groups or forums or anywhere on the web
that could answer my question. I would greatly appreciate if you kindly
introduce such a place to me.


My question is as follows:

Find a mathematical formulae of a surface that accurately fits a huge
number of datapoints in the form (a,b,c) which a, b and c are vectors and
not functions of eachother.


Thank you and stay safe

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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

I don't think so. Indians have a great history of engineering.

By the way, for your information I am Persian and I like and respect
Indians and other ethnic groups.

I think you should improve your social skills, study more about history and
also focus more on the topic of the group. Such speech is not the subject
of this group.


On Mon, Aug 5, 2019, 10:39 PM  wrote:

> 90% of the indians live in the mud,  the rest of them had their house
> built by europeans -   and u ALL know its true.
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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Ha ha ha

On Sun, Aug 4, 2019, 11:56 AM  wrote:

> Mohammud is a monkey. =CD
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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

I don't think that the problem is just as simple as those you mentioned.
However they might seem big, other big problems should be solved too.

On Sat, Aug 3, 2019, 8:00 PM Secretary of Trades 
wrote:

> Metabolism is the primary biological process. But reading and writing
> chemical memories is not primary.
>
> While reading and writing electrical memories is primary it's also
> critical in distinguishing between intelligent actions and automated
> processes.
>
> To interrupt a primary process with uncertain items such as clouds
> connectivity links is a fallacy.
>
> Vision and hearing should be enough to learn skills like seeing,
> drawing, reading, writing, listening, talking, entity recognition and
> other cognitive (not behavioral) tasks such as, of course, Kung fu. For
> it's quite intelligent to have one's enemy kicking and screaming during
> one's pillow peace times.
>
>
> https://www.youtube.com/watch?v=RC7ZNXclWWY
>
>
> Pride could be the third problem, for it runs smooth on Prejudice.
>
>
> On 02.08.2019 23:45, Mohammadreza Alidoust wrote:
> > Vision and hearing... And?
> >
> > On Fri, Aug 2, 2019 at 11:58 PM Secretary of Trades
> > mailto:costi.dumitre...@gmx.com>> wrote:
> >
> > Vision and hearing.
> >
> >
> > On 02.08.2019 04:12, Mohammadreza Alidoust wrote:
> > > Thank you. I really enjoy and appreciate your comments.
> > >
> > > There is no universal problem solver. So for the purpose of
> > building a
> > > real AGI, how many problems should our model be able to solve?
> > How big
> > > is our problem space?
> > >
> > >
> > > On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney
> > mailto:mattmahone...@gmail.com>
> > > <mailto:mattmahone...@gmail.com
> > <mailto:mattmahone...@gmail.com>>> wrote:
> > >
> > > The human brain cannot solve every problem. There is no
> > > requirement for AGI to do so either. Hutter and Legg proved
> that
> > > there is no such thing as a universal problem solver or
> > predictor.
> > >
> > > It feels like you could solve any problem given enough
> > effort, but
> > > that is an illusion. In reality you can't read a 20 digit
> number
> > > and recite it back. The human brain is good at solving problems
> > > that improve reproductive fitness, and that's only because it
> is
> > > very complex with thousands of specialized structures and a
> > > billion bits of inherited knowledge.
> > >
> > > On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust
> > > mailto:class.alido...@gmail.com>
> > <mailto:class.alido...@gmail.com
> > <mailto:class.alido...@gmail.com>>> wrote:
> > >
> > > I may not call the model "a reinforcement learning neural
> > > network", because nothing is going to be reinforced there.
> I
> > > would rather call it "model based decision making" where
> the
> > > model of the world will be incrementally completed and more
> > > accurate, which then helps in better decision making.
> > >
> > > The model is in its early stages and must be tested in
> > heavier
> > > tasks like the ones you mentioned. However, I believe
> > that AGI
> > > is an infinite problem-space and a real AGI must be able to
> > > solve everything. This requires further implementations,
> > > modifications, time, teamwork, financial support, etc.
> > >
> > > On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney
> > >  > <mailto:mattmahone...@gmail.com> <mailto:mattmahone...@gmail.com
> > <mailto:mattmahone...@gmail.com>>> wrote:
> > >
> > > Not understanding the math is the reader's problem.
> > It is
> > > necessary to describe the theory and the experiments
> and
> > > shouldn't be omitted.
> > >
> > > The paper describes 3 phases of training a
> reinforcement
> > > learning neural network. The first phase is
> > experimenting
> > > with random actions. The next two phases choose the
> > action
> > >   

Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Dear Jim Bromer,

Thank you. I would be glad to describe the model if you ask. Also, I would
be glad to see your works and results.

Best wishes,
Mohammadreza Alidoust


On Sat, Aug 3, 2019, 6:26 AM Jim Bromer  wrote:

> I think that 'undefined' refers to the resultant state of an algorithm
> (like a mathematical computation) where the result is undefined. For
> example, if the algorithm is not finished running, the result would be
> undefined. In the case where a mathematical algorithm would need to be
> applied to more complicated situations your program might need to solve and
> resolve hundreds and thousands and millions of computations. As the
> methodology is applied to more and more complicated problems, my opinion is
> that you would have to find a way abbreviate some of these computations
> even while you make them more complex in order to deal with more subtle
> variations. I feel that variations of compressed representations of numbers
> have to be used - but - they have to be used with variations of
> computational methods which can operate on these different compressions of
> numbers without decompressing them to convert them to some common format.
> Since you said that the mathematics that you used should be familiar from
> undergraduate courses in mathematics and since you pursued the criticisms
> that have been made in an unusually thoughtful manner I feel that it would
> make sense for me to try to understand your paper. As soon as I have time I
> will probably ask you to give me some explanations and perhaps a few simple
> worked examples. I don't have the time or the skills to carefully examine
> many papers unless the author has shown some greater sensibility toward the
> subtleties of the problem and a wisdom to be willing to provide some
> insight about the paper. Are you going to be a teacher?
> So there is no approach that will never lead to an undefined result (as,
> for example, in the case where a particularly complicated algorithm would
> take a surprisingly long time to complete). So I believe that you would
> need some very unusual methods of computation in order to make advances in
> the field. After having many conversations with a lot of crazy men - (like
> Matt) - I can describe a little about what those algorithms would be like,
> but I don't know how to create them. The interesting thing is that I feel
> that I can probably make primitive versions of some of the ideas that I
> have. While these primitive variations won't work efficiently they still
> might turn out to be interesting. Coming up with a great example is
> impossible but coming up with something unusual is very possible.
> Jim Bromer
>
>
> On Thu, Aug 1, 2019 at 8:59 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> Thank you for your email. You know, it is not about time management and
>> its worth. I am here to learn and I appreciate your comments and criticism.
>>
>> What approach would you suggest that will never lead to undefined?
>>
>>
>> On Thu, Aug 1, 2019, 3:25 PM Jim Bromer  wrote:
>>
>>> Mohammadreza said, "I think "intelligence" means optimization. So, if it
>>> is true, how can we tell an AGI agent to act optimally? e.g. with IF-THEN
>>> rules? definitely Not! These rules may lead to unforeseen states."
>>>
>>> If-Then rules are not the only application of discrete reasoning that
>>> are possible. In fact, when you talk about "optimization" you are talking
>>> about using mathematics to describe a discrete 'kind of thing'.
>>> Mathematical formula can lead to unforeseen states when they are applied to
>>> computational issues. Turing's Halting Problem is an example (- I am
>>> assuming that 'undefined' has a strong relation to 'unforeseen' as you used
>>> it.) You need to apply the mathematics to a 'kind of situation' and the
>>> idea that your mathematical formula might not lead to 'unforeseen states'
>>> when it is actually being used is naïve.
>>>
>>> Multiplication of an integer product has an uneven compressibility rate.
>>> OK, maybe I am talking about division. Division not only has a uneven
>>> compressibility rate it has an uneven deterministic rate. This has nothing
>>> to do with your paper.. So now the choice you have is: Do you take the time
>>> to understand what I am talking about? Do you take the time to understand
>>> how this might apply to your interest in AI / AGI? These are not trivial
>>> problems for you solve. How do you come to a conclusion about whether you
>>> should take the time to try to understand my criticism (and how it might be
>>> relevant

Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Vision and hearing... And?

On Fri, Aug 2, 2019 at 11:58 PM Secretary of Trades <
costi.dumitre...@gmx.com> wrote:

> Vision and hearing.
>
>
> On 02.08.2019 04:12, Mohammadreza Alidoust wrote:
> > Thank you. I really enjoy and appreciate your comments.
> >
> > There is no universal problem solver. So for the purpose of building a
> > real AGI, how many problems should our model be able to solve? How big
> > is our problem space?
> >
> >
> > On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney  > <mailto:mattmahone...@gmail.com>> wrote:
> >
> > The human brain cannot solve every problem. There is no
> > requirement for AGI to do so either. Hutter and Legg proved that
> > there is no such thing as a universal problem solver or predictor.
> >
> > It feels like you could solve any problem given enough effort, but
> > that is an illusion. In reality you can't read a 20 digit number
> > and recite it back. The human brain is good at solving problems
> > that improve reproductive fitness, and that's only because it is
> > very complex with thousands of specialized structures and a
> > billion bits of inherited knowledge.
> >
> > On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust
> > mailto:class.alido...@gmail.com>> wrote:
> >
> > I may not call the model "a reinforcement learning neural
> > network", because nothing is going to be reinforced there. I
> > would rather call it "model based decision making" where the
> > model of the world will be incrementally completed and more
> > accurate, which then helps in better decision making.
> >
> > The model is in its early stages and must be tested in heavier
> > tasks like the ones you mentioned. However, I believe that AGI
> > is an infinite problem-space and a real AGI must be able to
> > solve everything. This requires further implementations,
> > modifications, time, teamwork, financial support, etc.
> >
> > On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney
> > mailto:mattmahone...@gmail.com>>
> wrote:
> >
> > Not understanding the math is the reader's problem. It is
> > necessary to describe the theory and the experiments and
> > shouldn't be omitted.
> >
> > The paper describes 3 phases of training a reinforcement
> > learning neural network. The first phase is experimenting
> > with random actions. The next two phases choose the action
> > estimated to maximize reward. They differ in that they use
> > explicit and then implicit memory, although the paper
> > didn't explain these or other details of the learner.
> >
> > I like that the paper has an experimental results section,
> > which most papers on AGI lack. But I think calling it a
> > "AGI brain" is a stretch. It learns in highly abstract
> > models of chemical manufacturing or cattle grazing. It
> > doesn't demonstrate actual AGI or solve any major
> > components like language or vision.
> >
> >     On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann
> > mailto:m...@korfmann.info>> wrote:
> >
> > I guess he meant: It’s difficult to understand all
> > these mathematical equations. Visualizations are
> > better at transporting ideas in a way that almost
> > everyone can understand easily.
> >
> >> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust
> >>  >> <mailto:class.alido...@gmail.com>> wrote:
> >>
> >> Thank you for reading my paper. I wish you success too.
> >>
> >> Could you please explain more about the readership? I
> >> am afraid I did not get the point.
> >>
> >> Best regards,
> >> Mohammadreza Alidoust
> >>
> >>
> >> On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI
> >> mailto:agi@agi.topicbox.com>>
> >> wrote:
> >>
> >> If someone paid me to go, I'd go... :-)
> >>
> >>
> http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
> >>
> >>

Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Thank you. "The best that individuals can do is make small steps towards a
solution." I like this !!
Good Luck

Best regards,
Mohammadreza Alidoust

On Fri, Aug 2, 2019 at 7:25 AM Matt Mahoney  wrote:

> The obvious application of AGI is automating $80 trillion per year that
> we have to pay people for work that machines aren't smart enough to do.
> That means solving hard problems in language, vision, robotics, art, and
> modeling human behavior. I listed the requirements in more detail in my
> paper. The solution is going to require decades of global effort. The best
> that individuals can do is make small steps towards a solution.
> http://mattmahoney.net/costofai.pdf
>
> On Thu, Aug 1, 2019, 9:14 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> Thank you. I really enjoy and appreciate your comments.
>>
>> There is no universal problem solver. So for the purpose of building a
>> real AGI, how many problems should our model be able to solve? How big is
>> our problem space?
>>
>>
>> On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney 
>> wrote:
>>
>>> The human brain cannot solve every problem. There is no requirement for
>>> AGI to do so either. Hutter and Legg proved that there is no such thing as
>>> a universal problem solver or predictor.
>>>
>>> It feels like you could solve any problem given enough effort, but that
>>> is an illusion. In reality you can't read a 20 digit number and recite it
>>> back. The human brain is good at solving problems that improve reproductive
>>> fitness, and that's only because it is very complex with thousands of
>>> specialized structures and a billion bits of inherited knowledge.
>>>
>>> On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust <
>>> class.alido...@gmail.com> wrote:
>>>
>>>> I may not call the model "a reinforcement learning neural network",
>>>> because nothing is going to be reinforced there. I would rather call it
>>>> "model based decision making" where the model of the world will be
>>>> incrementally completed and more accurate, which then helps in better
>>>> decision making.
>>>>
>>>> The model is in its early stages and must be tested in heavier tasks
>>>> like the ones you mentioned. However, I believe that AGI is an infinite
>>>> problem-space and a real AGI must be able to solve everything. This
>>>> requires further implementations, modifications, time, teamwork, financial
>>>> support, etc.
>>>>
>>>> On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney 
>>>> wrote:
>>>>
>>>>> Not understanding the math is the reader's problem. It is necessary to
>>>>> describe the theory and the experiments and shouldn't be omitted.
>>>>>
>>>>> The paper describes 3 phases of training a reinforcement learning
>>>>> neural network. The first phase is experimenting with random actions. The
>>>>> next two phases choose the action estimated to maximize reward. They 
>>>>> differ
>>>>> in that they use explicit and then implicit memory, although the paper
>>>>> didn't explain these or other details of the learner.
>>>>>
>>>>> I like that the paper has an experimental results section, which most
>>>>> papers on AGI lack. But I think calling it a "AGI brain" is a stretch. It
>>>>> learns in highly abstract models of chemical manufacturing or cattle
>>>>> grazing. It doesn't demonstrate actual AGI or solve any major components
>>>>> like language or vision.
>>>>>
>>>>> On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann 
>>>>> wrote:
>>>>>
>>>>>> I guess he meant: It’s difficult to understand all these mathematical
>>>>>> equations. Visualizations are better at transporting ideas in a way that
>>>>>> almost everyone can understand easily.
>>>>>>
>>>>>> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust <
>>>>>> class.alido...@gmail.com> wrote:
>>>>>>
>>>>>> Thank you for reading my paper. I wish you success too.
>>>>>>
>>>>>> Could you please explain more about the readership? I am afraid I did
>>>>>> not get the point.
>>>>>>
>>>>>> Best regards,
>>>>>> Mohammadreza Alidoust
>>>>&

Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Thank you. I really enjoy and appreciate your comments.

There is no universal problem solver. So for the purpose of building a real
AGI, how many problems should our model be able to solve? How big is our
problem space?


On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney  wrote:

> The human brain cannot solve every problem. There is no requirement for
> AGI to do so either. Hutter and Legg proved that there is no such thing as
> a universal problem solver or predictor.
>
> It feels like you could solve any problem given enough effort, but that is
> an illusion. In reality you can't read a 20 digit number and recite it
> back. The human brain is good at solving problems that improve reproductive
> fitness, and that's only because it is very complex with thousands of
> specialized structures and a billion bits of inherited knowledge.
>
> On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> I may not call the model "a reinforcement learning neural network",
>> because nothing is going to be reinforced there. I would rather call it
>> "model based decision making" where the model of the world will be
>> incrementally completed and more accurate, which then helps in better
>> decision making.
>>
>> The model is in its early stages and must be tested in heavier tasks like
>> the ones you mentioned. However, I believe that AGI is an infinite
>> problem-space and a real AGI must be able to solve everything. This
>> requires further implementations, modifications, time, teamwork, financial
>> support, etc.
>>
>> On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney 
>> wrote:
>>
>>> Not understanding the math is the reader's problem. It is necessary to
>>> describe the theory and the experiments and shouldn't be omitted.
>>>
>>> The paper describes 3 phases of training a reinforcement learning neural
>>> network. The first phase is experimenting with random actions. The next two
>>> phases choose the action estimated to maximize reward. They differ in that
>>> they use explicit and then implicit memory, although the paper didn't
>>> explain these or other details of the learner.
>>>
>>> I like that the paper has an experimental results section, which most
>>> papers on AGI lack. But I think calling it a "AGI brain" is a stretch. It
>>> learns in highly abstract models of chemical manufacturing or cattle
>>> grazing. It doesn't demonstrate actual AGI or solve any major components
>>> like language or vision.
>>>
>>> On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann 
>>> wrote:
>>>
>>>> I guess he meant: It’s difficult to understand all these mathematical
>>>> equations. Visualizations are better at transporting ideas in a way that
>>>> almost everyone can understand easily.
>>>>
>>>> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust <
>>>> class.alido...@gmail.com> wrote:
>>>>
>>>> Thank you for reading my paper. I wish you success too.
>>>>
>>>> Could you please explain more about the readership? I am afraid I did
>>>> not get the point.
>>>>
>>>> Best regards,
>>>> Mohammadreza Alidoust
>>>>
>>>>
>>>> On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI <
>>>> agi@agi.topicbox.com> wrote:
>>>>
>>>>> If someone paid me to go, I'd go... :-)
>>>>>
>>>>> > http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
>>>>>
>>>>> I like the stages you define in your paper (infancy, decision making,
>>>>> expert). Sounds reasonable.
>>>>>
>>>>> I pretty much erased mathematical formulas from my brain though, even
>>>>> though I have studied those things. These days I prefer to think in 
>>>>> natural
>>>>> language or code. Increases the readership exponentially too. :-)
>>>>>
>>>>> Many greetings and best wishes to you
>>>>>
>>>>>
>>>>> On Tue, 30 Jul 2019 at 02:13, Mohammadreza Alidoust <
>>>>> class.alido...@gmail.com> wrote:
>>>>>
>>>>>> Dear Stefan Reich,
>>>>>>
>>>>>> Thank you. I do not know whether submitting my paper before official
>>>>>> publication by Springer is against their copyrights or not. I am not sure
>>>>>> about their rules. I will ask the authorities when I arrived Shenzhen and
>>>>>> inform you.
>>>>>>
>>>>>> However I recommend not to miss the AGI-19.
>>>>>> http://agi-conf.org/2019/
>>>>>>
>>>>>>
>>>>>> Best regards,
>>>>>> Mohammadreza Alidoust
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Stefan Reich
>>>>> BotCompany.de // Java-based operating systems
>>>>>
>>>>
>>>> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Thank you for your email. You know, it is not about time management and its
worth. I am here to learn and I appreciate your comments and criticism.

What approach would you suggest that will never lead to undefined?


On Thu, Aug 1, 2019, 3:25 PM Jim Bromer  wrote:

> Mohammadreza said, "I think "intelligence" means optimization. So, if it
> is true, how can we tell an AGI agent to act optimally? e.g. with IF-THEN
> rules? definitely Not! These rules may lead to unforeseen states."
>
> If-Then rules are not the only application of discrete reasoning that are
> possible. In fact, when you talk about "optimization" you are talking about
> using mathematics to describe a discrete 'kind of thing'. Mathematical
> formula can lead to unforeseen states when they are applied to
> computational issues. Turing's Halting Problem is an example (- I am
> assuming that 'undefined' has a strong relation to 'unforeseen' as you used
> it.) You need to apply the mathematics to a 'kind of situation' and the
> idea that your mathematical formula might not lead to 'unforeseen states'
> when it is actually being used is naïve.
>
> Multiplication of an integer product has an uneven compressibility rate.
> OK, maybe I am talking about division. Division not only has a uneven
> compressibility rate it has an uneven deterministic rate. This has nothing
> to do with your paper.. So now the choice you have is: Do you take the time
> to understand what I am talking about? Do you take the time to understand
> how this might apply to your interest in AI / AGI? These are not trivial
> problems for you solve. How do you come to a conclusion about whether you
> should take the time to try to understand my criticism (and how it might be
> relevant to you) if I cannot make it easy for you to understand in a few
> minutes of reading? The conference is just about to start. Is it really
> worth your time to think about what I am trying to say? Right now it is not
> worth your time to respond. In a few years it will probably be very
> relevant to what you would like to do.
> Jim Bromer
>
>
> On Wed, Jul 31, 2019 at 10:09 PM Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> Thank you. Sure, visualizations help in better understanding. However I
>> do not believe that the model contains difficult mathematics. BSc Students
>> of control engineering in their third or fourth year, study state-space
>> representation in their Modern Control Engineering course.
>>
>> Anyway, I think AGI is NOT POSSIBLE without mathematics.
>> I think "intelligence" means optimization. So, if it is true, how can we
>> tell an AGI agent to act optimally? e.g. with IF-THEN rules? definitely
>> Not! These rules may lead to unforeseen states.
>> All of the AI algorithms have a mathematical formulation behind. Can
>> anyone name an AI algorithm which has no mathematical background?
>>
>> I think if the hypothesis "intelligence is optimization" is true, we have
>> to, first devise an optimization framework for our problem space. That
>> optimization framework enables our agent to act intelligent in that space.
>> AGI is, in my view, an infinite problem-space. So, the question is: What
>> is able to cover the infinite better than the mathematics?
>>
>> On Wed, Jul 31, 2019 at 4:31 PM Manuel Korfmann 
>> wrote:
>>
>>> I guess he meant: It’s difficult to understand all these mathematical
>>> equations. Visualizations are better at transporting ideas in a way that
>>> almost everyone can understand easily.
>>>
>>> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust <
>>> class.alido...@gmail.com> wrote:
>>>
>>> Thank you for reading my paper. I wish you success too.
>>>
>>> Could you please explain more about the readership? I am afraid I did
>>> not get the point.
>>>
>>> Best regards,
>>> Mohammadreza Alidoust
>>>
>>>
>>> On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI 
>>> wrote:
>>>
>>>> If someone paid me to go, I'd go... :-)
>>>>
>>>> > http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
>>>>
>>>> I like the stages you define in your paper (infancy, decision making,
>>>> expert). Sounds reasonable.
>>>>
>>>> I pretty much erased mathematical formulas from my brain though, even
>>>> though I have studied those things. These days I prefer to think in natural
>>>> language or code. Increases the readership exponentially too. :-)
>>>>
>>>> Many greetin

Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

I may not call the model "a reinforcement learning neural network", because
nothing is going to be reinforced there. I would rather call it "model
based decision making" where the model of the world will be incrementally
completed and more accurate, which then helps in better decision making.

The model is in its early stages and must be tested in heavier tasks like
the ones you mentioned. However, I believe that AGI is an infinite
problem-space and a real AGI must be able to solve everything. This
requires further implementations, modifications, time, teamwork, financial
support, etc.

On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney  wrote:

> Not understanding the math is the reader's problem. It is necessary to
> describe the theory and the experiments and shouldn't be omitted.
>
> The paper describes 3 phases of training a reinforcement learning neural
> network. The first phase is experimenting with random actions. The next two
> phases choose the action estimated to maximize reward. They differ in that
> they use explicit and then implicit memory, although the paper didn't
> explain these or other details of the learner.
>
> I like that the paper has an experimental results section, which most
> papers on AGI lack. But I think calling it a "AGI brain" is a stretch. It
> learns in highly abstract models of chemical manufacturing or cattle
> grazing. It doesn't demonstrate actual AGI or solve any major components
> like language or vision.
>
> On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann  wrote:
>
>> I guess he meant: It’s difficult to understand all these mathematical
>> equations. Visualizations are better at transporting ideas in a way that
>> almost everyone can understand easily.
>>
>> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust <
>> class.alido...@gmail.com> wrote:
>>
>> Thank you for reading my paper. I wish you success too.
>>
>> Could you please explain more about the readership? I am afraid I did not
>> get the point.
>>
>> Best regards,
>> Mohammadreza Alidoust
>>
>>
>> On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI 
>> wrote:
>>
>>> If someone paid me to go, I'd go... :-)
>>>
>>> > http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
>>>
>>> I like the stages you define in your paper (infancy, decision making,
>>> expert). Sounds reasonable.
>>>
>>> I pretty much erased mathematical formulas from my brain though, even
>>> though I have studied those things. These days I prefer to think in natural
>>> language or code. Increases the readership exponentially too. :-)
>>>
>>> Many greetings and best wishes to you
>>>
>>>
>>> On Tue, 30 Jul 2019 at 02:13, Mohammadreza Alidoust <
>>> class.alido...@gmail.com> wrote:
>>>
>>>> Dear Stefan Reich,
>>>>
>>>> Thank you. I do not know whether submitting my paper before official
>>>> publication by Springer is against their copyrights or not. I am not sure
>>>> about their rules. I will ask the authorities when I arrived Shenzhen and
>>>> inform you.
>>>>
>>>> However I recommend not to miss the AGI-19.
>>>> http://agi-conf.org/2019/
>>>>
>>>>
>>>> Best regards,
>>>> Mohammadreza Alidoust
>>>>
>>>
>>>
>>> --
>>> Stefan Reich
>>> BotCompany.de // Java-based operating systems
>>>
>>
>> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
> / AGI / see discussions <https://agi.topicbox.com/groups/agi> +
> participants <https://agi.topicbox.com/groups/agi/members> + delivery
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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Thank you. Sure, visualizations help in better understanding. However I do
not believe that the model contains difficult mathematics. BSc Students of
control engineering in their third or fourth year, study state-space
representation in their Modern Control Engineering course.

Anyway, I think AGI is NOT POSSIBLE without mathematics.
I think "intelligence" means optimization. So, if it is true, how can we
tell an AGI agent to act optimally? e.g. with IF-THEN rules? definitely
Not! These rules may lead to unforeseen states.
All of the AI algorithms have a mathematical formulation behind. Can anyone
name an AI algorithm which has no mathematical background?

I think if the hypothesis "intelligence is optimization" is true, we have
to, first devise an optimization framework for our problem space. That
optimization framework enables our agent to act intelligent in that space.
AGI is, in my view, an infinite problem-space. So, the question is: What
is able to cover the infinite better than the mathematics?

On Wed, Jul 31, 2019 at 4:31 PM Manuel Korfmann  wrote:

> I guess he meant: It’s difficult to understand all these mathematical
> equations. Visualizations are better at transporting ideas in a way that
> almost everyone can understand easily.
>
> On 31. Jul 2019, at 13:46, Mohammadreza Alidoust 
> wrote:
>
> Thank you for reading my paper. I wish you success too.
>
> Could you please explain more about the readership? I am afraid I did not
> get the point.
>
> Best regards,
> Mohammadreza Alidoust
>
>
> On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI 
> wrote:
>
>> If someone paid me to go, I'd go... :-)
>>
>> > http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
>>
>> I like the stages you define in your paper (infancy, decision making,
>> expert). Sounds reasonable.
>>
>> I pretty much erased mathematical formulas from my brain though, even
>> though I have studied those things. These days I prefer to think in natural
>> language or code. Increases the readership exponentially too. :-)
>>
>> Many greetings and best wishes to you
>>
>>
>> On Tue, 30 Jul 2019 at 02:13, Mohammadreza Alidoust <
>> class.alido...@gmail.com> wrote:
>>
>>> Dear Stefan Reich,
>>>
>>> Thank you. I do not know whether submitting my paper before official
>>> publication by Springer is against their copyrights or not. I am not sure
>>> about their rules. I will ask the authorities when I arrived Shenzhen and
>>> inform you.
>>>
>>> However I recommend not to miss the AGI-19.
>>> http://agi-conf.org/2019/
>>>
>>>
>>> Best regards,
>>> Mohammadreza Alidoust
>>>
>>
>>
>> --
>> Stefan Reich
>> BotCompany.de // Java-based operating systems
>>
>
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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> participants <https://agi.topicbox.com/groups/agi/members> + delivery
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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Thank you for reading my paper. I wish you success too.

Could you please explain more about the readership? I am afraid I did not
get the point.

Best regards,
Mohammadreza Alidoust


On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI 
wrote:

> If someone paid me to go, I'd go... :-)
>
> > http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
>
> I like the stages you define in your paper (infancy, decision making,
> expert). Sounds reasonable.
>
> I pretty much erased mathematical formulas from my brain though, even
> though I have studied those things. These days I prefer to think in natural
> language or code. Increases the readership exponentially too. :-)
>
> Many greetings and best wishes to you
>
>
> On Tue, 30 Jul 2019 at 02:13, Mohammadreza Alidoust <
> class.alido...@gmail.com> wrote:
>
>> Dear Stefan Reich,
>>
>> Thank you. I do not know whether submitting my paper before official
>> publication by Springer is against their copyrights or not. I am not sure
>> about their rules. I will ask the authorities when I arrived Shenzhen and
>> inform you.
>>
>> However I recommend not to miss the AGI-19.
>> http://agi-conf.org/2019/
>>
>>
>> Best regards,
>> Mohammadreza Alidoust
>>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
> / AGI / see discussions <https://agi.topicbox.com/groups/agi> +
> participants <https://agi.topicbox.com/groups/agi/members> + delivery
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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Thank you for the information.

Best regards,
Mohammadreza Alidoust

On Tue, Jul 30, 2019, 6:24 AM Brett N Martensen 
wrote:

> All the papers can be found at: http://agi-conf.org/2019/schedule/
>
> Here is yours:
> http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf
>
>
> *Artificial General Intelligence List <https://agi.topicbox.com/latest>*
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>

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Re: [agi] My paper in AGI-19

[Mohammadreza Alidoust]

Dear Stefan Reich,

Thank you. I do not know whether submitting my paper before official 
publication by Springer is against their copyrights or not. I am not sure about 
their rules. I will ask the authorities when I arrived Shenzhen and inform you.

However I recommend not to miss the AGI-19.
http://agi-conf.org/2019/


Best regards,
Mohammadreza Alidoust
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