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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