yes, the website i linked to is incorrect, sorry about that!

On Friday, April 2, 2021 at 2:07:14 PM UTC-4 Dave Xanatos wrote:

> Looks like it is 3pm EDT, fyi.  See you then 😊
>
>  
>
> *From:* [email protected] <[email protected]> *On Behalf Of 
> *Michael 
> Duncan
> *Sent:* Friday, April 2, 2021 10:09 AM
> *To:* opencog <[email protected]>
> *Subject:* Re: AGI & Robotics & Sophia [was Re: New user [was Re: 
> [opencog-dev] Problem in atom deletion from postgreSQL
>
>  
>
> it looks like 2pm edt, i'll be there!
>
> https://time.is/EET
>
>  
>
>  
>
> On Thursday, April 1, 2021 at 3:55:12 PM UTC-4 Nil wrote:
>
> Alright, so the time is 
>
> Friday 2 Apr, 9pm EET (3pm EDT, if I'm correct) 
>
> and the place is 
>
> https://meet.jit.si/proto-agi 
>
> Everybody is invited. 
>
> Nil 
>
> On 4/1/21 9:27 PM, Michele Thiella wrote: 
> > 25.5 from now, i hope :) 
> > 
> > Il giorno giovedì 1 aprile 2021 alle 19:29:39 UTC+2 [email protected] 
> ha 
> > scritto: 
> > 
> >  9pm EET works for me.. is that 1.5 hours from now or 25.5 hours 
> > from now? 
> > 
> > On Thu, Apr 1, 2021 at 8:19 AM Michele Thiella <[email protected]> 
> > wrote: 
> > 
> > Could it be around 9pm EET? 
> > it's a completely different time but should it be available for 
> > everyone? 
> > 
> > Michele 
> > Il giorno giovedì 1 aprile 2021 alle 16:29:53 UTC+2 Nil ha scritto: 
> > 
> > Sure! The place is 
> > 
> > https://meet.jit.si/proto-agi <https://meet.jit.si/proto-agi> 
> > 
> > the time is 
> > 
> > 10:45am EET 
> > 
> > Unfortunately probably too early if you're in the US. 
> > 
> > Michele, maybe we could do a last minute change to fit the 
> > US timezone 
> > as well? With the risk of adding confusion though. 
> > 
> > I'll try to record the call, BTW. 
> > 
> > Nil 
> > 
> > On 4/1/21 5:08 PM, Douglas Miles wrote: 
> > > May I sit in on the meeting as a fly on the wall? 
> > > If so, when/how shall I connect? 
> > > 
> > > Thanks in advance! 
> > > Douglas Miles 
> > > 
> > > On Thu, Apr 1, 2021 at 2:52 AM Michele Thiella 
> > <[email protected] 
> > > <mailto:[email protected]>> wrote: 
> > > 
> > > Hi Nil, 
> > > you're right! currently EET corresponds to the Italian time! 
> > > Great, then I might be a few minutes late because I have 
> > a lesson 
> > > first. But surely 10.45am EET can work! 
> > > 
> > > Also for me, no problems for those who want to join! 
> > > Thanks for the PLN link. See you tomorrow. 
> > > 
> > > Michele 
> > > Il giorno mercoledì 31 marzo 2021 alle 14:40:38 UTC+2 Nil 
> > ha scritto: 
> > > 
> > > Hi Michele, 
> > > 
> > > On 3/27/21 12:12 PM, Michele Thiella wrote: 
> > > > Is there any recommended book/paper to study before the 
> > code 
> > > of PLN rules? 
> > > 
> > > Search for Probabilistic Logic Networks in 
> > > 
> > > 
> > 
> https://wiki.opencog.org/w/Background_Publications#Books_Directly_Related_to_OpenCog_AI
>  
> > <
> https://wiki.opencog.org/w/Background_Publications#Books_Directly_Related_to_OpenCog_AI>
>  
>
> > 
> > > 
> > <
> https://wiki.opencog.org/w/Background_Publications#Books_Directly_Related_to_OpenCog_AI
>  
> > <
> https://wiki.opencog.org/w/Background_Publications#Books_Directly_Related_to_OpenCog_AI>>
>  
>
> > 
> > > 
> > > 
> > > > For the meeting, could it be at 11.30am EET? 
> > > 
> > > 11:30am EET works for me. But maybe you mean 10:30am EET. 
> > With 
> > > daylight saving time it seems EET corresponds to Italy 
> > time. I'm 
> > > not 
> > > sure so double check but anyway 10:30am Italy time works 
> > for me. 
> > > 
> > > Nil 
> > > 
> > > > 
> > > > Michele 
> > > > 
> > > > Il giorno venerdì 26 marzo 2021 alle 08:56:11 UTC+1 Nil ha 
> > > scritto: 
> > > > 
> > > > On 3/25/21 9:03 PM, Michele Thiella wrote: 
> > > > > Can I ask you to say something about tree of 
> > decisions in Eva? 
> > > > Was it a 
> > > > > separate scheme/python module that analyzed 
> > SequentialAnd? 
> > > > > While i'm at it, I can't place some components in your 
> > > architecture: 
> > > > > I read Moshe Looks thesis on MOSES and what I found on 
> > > OpenPsi. 
> > > > But in 
> > > > > practice what were they used for? 
> > > > 
> > > > MOSES is a program learner. In principle it could learn 
> > any 
> > > program, in 
> > > > practice it is mostly used to learn multivariable boolean 
> > > functions (as 
> > > > it doesn't work very well on anything else, so far 
> > anyway). 
> > > > 
> > > > See for more info 
> > > > 
> > > > 
> > > 
> > https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search> 
>
> > 
> > > 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search>> 
>
> > 
> > > 
> > > > 
> > > 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search> 
>
> > 
> > > 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search 
> > <https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutionary_Search>>> 
>
> > 
> > > 
> > > > 
> > > > 
> > > > > Finally, in practice what does PLN do/have more than 
> > URE? 
> > > > 
> > > > The URE is a generic rewriting system, that needs a 
> > rule set to 
> > > > operate. 
> > > > 
> > > > See for more info 
> > > > 
> > > > https://wiki.opencog.org/w/Unified_rule_engine 
> > <https://wiki.opencog.org/w/Unified_rule_engine> 
> > > <https://wiki.opencog.org/w/Unified_rule_engine 
> > <https://wiki.opencog.org/w/Unified_rule_engine>> 
> > > > <https://wiki.opencog.org/w/Unified_rule_engine 
> > <https://wiki.opencog.org/w/Unified_rule_engine> 
> > > <https://wiki.opencog.org/w/Unified_rule_engine 
> > <https://wiki.opencog.org/w/Unified_rule_engine>>> 
> > > > 
> > > > Such rule set can be PLN, which has been specifically 
> > > tailored to 
> > > > handle 
> > > > uncertain reasoning 
> > > > 
> > > > https://github.com/opencog/pln 
> > <https://github.com/opencog/pln> 
> > > <https://github.com/opencog/pln 
> > <https://github.com/opencog/pln>> 
> > <https://github.com/opencog/pln 
> > <https://github.com/opencog/pln> 
> > > <https://github.com/opencog/pln 
> > <https://github.com/opencog/pln>>> 
> > > > 
> > > > or the Miner, which is has been tailored to find frequent 
> > > subgraphs 
> > > > 
> > > > https://github.com/opencog/miner 
> > <https://github.com/opencog/miner> 
> > > <https://github.com/opencog/miner 
> > <https://github.com/opencog/miner>> 
> > > <https://github.com/opencog/miner 
> > <https://github.com/opencog/miner> 
> > > <https://github.com/opencog/miner 
> > <https://github.com/opencog/miner>>> 
> > > > 
> > > > or more, though these are the two most used/mature. 
> > > > 
> > > > Nil 
> > > > 
> > > > > 
> > > > > 
> > > > > Before reasoning is possible, one must have a 
> > world-model. 
> > > This 
> > > > > model has several parts to it: 
> > > > > * The people in the room, and their 3D coordinates 
> > > > > * The objects on the table and their 3D coordinates. 
> > > > > * The self-model (current position of robot, and of its 
> > > arms, etc.) 
> > > > > The above is updated rapidly, by sensor information. 
> > > > > 
> > > > > Then there is some long-term knowledge: 
> > > > > * The names of everyone who is known. A dictionary 
> > linking 
> > > names to 
> > > > > faces. 
> > > > > 
> > > > > Then there is some common-sense knowledge: 
> > > > > * you can talk to people, 
> > > > > * you can pick up bottles on a table 
> > > > > * you cannot talk to bottles 
> > > > > * you cannot pick up people. 
> > > > > * bottles can be picked up with the arm. 
> > > > > * facial expressions and arm movements can be used to 
> > > communicate 
> > > > > with people. 
> > > > > 
> > > > > The world model needs to represent all of this. It also 
> > > needs to 
> > > > > store all of the above in a representation that is 
> > > accessible to 
> > > > > natural language, so that it can talk about the 
> > position of 
> > > its arm, 
> > > > > the location of the bottle, and the name of the 
> > person it is 
> > > > talking to. 
> > > > > 
> > > > > Reasoning is possible only *after* all of the above 
> > has been 
> > > > > satisfied, not before.  Attempts to do reasoning 
> > before the 
> > > above 
> > > > > has been built will always come up short, because some 
> > > important 
> > > > > piece of information will be missing, or will be stored 
> > > somewhere, 
> > > > > in some format that the reasoning system does not have 
> > > access to it. 
> > > > > 
> > > > > The point here is that people have been building 
> > "reasoning 
> > > systems" 
> > > > > for the last 30 or 40 years. They are always frail and 
> > > fragile. They 
> > > > > are always missing key information.  I think it is 
> > > important to try 
> > > > > to understand how to represent information in a uniform 
> > > manner, so 
> > > > > that reasoning does not stumble. 
> > > > > 
> > > > > 
> > > > > Atomspace: 
> > > > > 
> > > > >   Concepts: "name" - "3D pose" 
> > > > >   - bottle - Na 
> > > > >   - table - Na 
> > > > >   (Predicate: "over" List ("bottle") ("table")) 
> > > > >   Actions: 
> > > > >   - Go random 
> > > > >   - Go to coord 
> > > > >   - Grab obj 
> > > > > 
> > > > > Goal: (bottle in hand)    // = grab bottle 
> > > > > 
> > > > > Inference rules: all the necessary rules, i.e. 
> > > > > * grab-rule: preconditions: (robot-coord = obj-coord) 
> > ..., 
> > > > > effects: (obj in hand) ... 
> > > > > * coord-rule: if x is in "coord1" and y is over x 
> > then y is in 
> > > > > "coord1" 
> > > > > 
> > > > > -> So, robot try backward chaining to find the behavior 
> > > tree to 
> > > > > run. It doesn't find it, it lacks knowledge, it 
> > doesn't know 
> > > > > where the bottle is (let's leave out partial trees). 
> > > > > -> Go random ... 
> > > > > -> Vision sensor recognizes table 
> > > > > -> atomspace update: table in coord (1,1,1) 
> > > > > -> forward chaining -> bottle in coord (1,1,1) 
> > > > > -> backward chaining finds a tree, that is 
> > > > > Go to coord (1,1,1) + Grap obj 
> > > > > -> goal achieved 
> > > > > 
> > > > > 
> > > > > This is a more-or-less textbook robotics homework 
> > > assignment. It has 
> > > > > certainly been solved in many different ways by many 
> > different 
> > > > > people using many different technologies, over the last 
> > > 40-60 years. 
> > > > > Algorithms like A-star search are one of the research 
> > > results of 
> > > > > trying to solve the above. The AtomSpace would be a 
> > horrible 
> > > > > technology to solve the above problem, its too slow, too 
> > > bulky, too 
> > > > > complicated. 
> > > > > 
> > > > > The chaining steps can be called "inference", but it is 
> > > inference 
> > > > > devoid of natural language, devoid of "true 
> > understanding". 
> > > My goal 
> > > > > is to have a conversation with the robot: 
> > > > > 
> > > > > "What do you see?" 
> > > > > "A bottle" 
> > > > > "where is it?" 
> > > > > "on the table" 
> > > > > "can you reach it?" 
> > > > > "no" 
> > > > > "could you reach it if you move to a different place?" 
> > > > > "yes" 
> > > > > "where would you move?" 
> > > > > "closer to the bottle" 
> > > > > "can you please move closer to the bottle?" 
> > > > > (robot moves) 
> > > > > 
> > > > > 
> > > > > This is now clear to me, but why natural language? 
> > > > > if i didn't want interactions with humans could i do it 
> > > differently? 
> > > > > A certain variation of the sensor values already 
> > represents 
> > > "the 
> > > > forward 
> > > > > movement", I do not need to associate a name with it 
> > if I 
> > > don't 
> > > > speak, 
> > > > > also for the Atom "bottle" I could use its ID instead. 
> > > > > I don't understand why removing natural language implies 
> > > having an 
> > > > > inference devoid of "true understanding". 
> > > > > 
> > > > > Stupid example: If I speak Italian with a French, 
> > neither 
> > > of us 
> > > > > understands the other. But a bottle remains a bottle for 
> > > both and 
> > > > if I 
> > > > > give him my hand he will probably do it too ... or he 
> > will 
> > > leave 
> > > > without 
> > > > > saying goodbye. 
> > > > > 
> > > > > I'm probably missing something big, but until I don't 
> > bang 
> > > my head 
> > > > > against it, I don't see. 
> > > > > 
> > > > > 
> > > > > This can be solved by carefully hand-crafting a chatbot 
> > > dialog tree. 
> > > > > (The ghost chatbot system in opencog was designed to 
> > allow 
> > > such 
> > > > > dialog trees to be created) Over the decades, many 
> > chatbots 
> > > have 
> > > > > been written. Again: there are common problems: 
> > > > > 
> > > > > -- the text is hard-coded, and not linguistic.  Minor 
> > > changes in 
> > > > > wording cause the chatbot to get confused. 
> > > > > -- there is no world-model, or it is ad hoc and 
> > scattered 
> > > over many 
> > > > > places 
> > > > > -- no ability to perform reasoning 
> > > > > -- no memory of the dialog ("what were we talking 
> > about?" - 
> > > well, 
> > > > > chatbots do have a one-word "topic" variable, so the 
> > > chatbot can 
> > > > > answer "we are talking about baseball", but that's it. 
> > > There is no 
> > > > > "world model" of the conversation, and no "world 
> > model" of 
> > > who the 
> > > > > conversation was with ("On Sunday, I talked to John 
> > about a 
> > > bottle 
> > > > > on a table and how to grasp it") 
> > > > > 
> > > > > Note that ghost has all of the above problems. It's not 
> > > linguistic, 
> > > > > it has no world-model, it has no defined representation 
> > > that can be 
> > > > > reasoned over, and it has no memory. 
> > > > > 
> > > > > 20 years ago, it was hard to build a robot that could 
> > grasp a 
> > > > > bottle. It was hard to create a good chatbot. 
> > > > > 
> > > > > What is the state of the art, today? Well, Tesla has 
> > > self-driving 
> > > > > cars, and Amazon and Apple have chatbots that are very 
> > > > > sophisticated.  There is no open source for any of this, 
> > > and there 
> > > > > are no open standards, so if you are a university grad 
> > > student (or a 
> > > > > university professor) it is still very very hard to 
> > build a 
> > > robot 
> > > > > that can grasp a bottle, or a robot that you can talk 
> > to. 
> > > And yet, 
> > > > > these basic tasks have become "engineering"; they are no 
> > > longer 
> > > > > "science".  The science resides at a more abstract 
> > level. 
> > > > > 
> > > > > --linas 
> > > > > 
> > > > > 
> > > > > I find the abstract level incredible, both in terms of 
> > > beauty and 
> > > > > difficulty! 
> > > > > 
> > > > > Michele 
> > > > > 
> > > > > -- 
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