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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