Found the link eventually, if anyone needs it: https://meet.jit.si/rocca

Le mardi 4 janvier 2022 à 14:34:08 UTC+1, Aymeric a écrit :

> Thanks for these insights Linas and Nil. I was wondering how I could 
> "name" the concepts, but indeed, being graphs each of them should be unique.
>
> Regarding the monthly community call, how should I join it ?
>
> Regards
>
> Aymeric
> Le mardi 4 janvier 2022 à 13:38:11 UTC+1, Nil a écrit :
>
>> Hi Aymeric, 
>>
>> I think you want to have a look at ROCCA 
>>
>> https://wiki.opencog.org/w/ROCCA 
>>
>> If possible you may join our monthly community call, next one is Friday. 
>>
>> Regarding recognizing, storing and reusing abstractions, as Linas said, 
>> the AtomSpace provides that, you don't even need to name your 
>> abstractions due to the graphical nature of the data store. However the 
>> more abstractions you have, the more focus you need to overcome 
>> information overload. 
>>
>> Nil 
>>
>> On 1/3/22 21:08, aymeric wrote: 
>> > 
>> > Hello everyone, 
>> > 
>> > I am defining my Phd subject which will revolve around Neuro-symbolim. 
>> > The goal would be to make an agent to learn as much knowledge as it can 
>> > from its environement, and I found the opencog and the atomspace graph 
>> > very interesting for the implementation. 
>> > 
>> > My questions might be too vague, but maybe somebody can provide an 
>> > answer or at least some guiding ideas. 
>> > 
>> > How can we use the opencog system to store increasingly more complex 
>> > concepts of the environment an agent is exploring ? Can the concepts be 
>> > casted as atoms ? How would the relations between atoms be constructed 
>> ? 
>> > Is there already a solution in the opencog ecosystem to store concepts 
>> > in a hierarchical or composed manner ? (I am thinking for instance of 
>> > the Option framework, where long sequences of actions are stored (as RL 
>> > algos) and guided by a meta-policy, can this framework be "easily" 
>> > implemented with opencog?). 
>> > 
>> > Hope my questions are a bit clear. I am reading a lot of papers now and 
>> > it sometimes difficult to grasp all the concepts and be articulated 
>> when 
>> > talking about them. 
>> > 
>> > Thanks! 
>> > 
>> > Aymeric 
>> > 
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