Hi guys,
thanks for your reply, Adrian. To add to that, there's a terribly drafty
document about temporal reasoning in the pln repo
https://github.com/opencog/pln/blob/master/opencog/pln/rules/temporal/temporal-reasoning.md
It'd be a delight to have you join the call, Patrick. I'll send a
reminder with the place and time (should still be Fri 6 Aug 3pm EEST, if
that works for everybody) in a separate email.
Nil
On 7/25/21 4:12 PM, Adrian Borucki wrote:
Hi Patrick,
I can answer some of your questions to some extent:
- The basic Cartpole example uses hardcoded schemas (we call these
/context & action => goal/ triples /cognitive schemas/) and indeed the
other examples try to learn useful ones by themselves.
- Currently most of the heavy lifting is done by the Pattern Miner.
Basically, it will produce some /LambdaLink/s based on some surprising
patterns that it can spot from the database of observations and actions
taken by the agent, that then get transformed into
/PredictiveImplicationScopeLink/s that constitute cognitive schemas.
- You can find two relevant papers in the code comments about the use of
Thompson Sampling (http://auai.org/uai2016/proceedings/papers/20.pdf)
and Partial Operator Induction (this one written by Nil, here
<https://github.com/ngeiswei/papers/blob/master/PartialBetaOperatorInduction/PartialBetaOperatorInduction.pdf>).
As for me, so far I haven’t been able to get it to achieve some tangible
goals, like solving the Cartpole-v1 environment. For Minecraft, one of
the easier tasks is the navigation challenge which requires the agent to
reach and touch some block. Not much progress in this regard so far as well.
There is also a document outlining current state of the project and
potential roadmap written by Nil here
<https://github.com/opencog/rocca/blob/master/doc/proto-agi-early-progress-report-and-planning.md>.
Best regards,
Adrian
On Sunday, 25 July 2021 at 05:56:01 UTC+2 [email protected] wrote:
Hi Nil!
ROCCA looks very interesting!
If you don't mind I will also join the meeting (I have more time now
as I just defended my dissertation about ONA
<https://github.com/opennars/OpenNARS-for-Applications>), but as
passive observer for now when you don't mind, as I'm not very
familiar yet with OpenCog and what you did.
Is there a description of what cognitive functions the ROCCA agent
does already possess? Or a related publication?
Especially, I'm interested in which representations it is already
able to learn at runtime, such as new behaviors corresponding to the
"famous" triple *(antecedent action) => consequent*.
In Cartpole this kind of behavior seems to be given via
*PredictiveImplicationScopeLink*:
https://github.com/opencog/rocca/blob/c9f24ca76ab710eeff939359d84bd90b7acb11ab/examples/cartpole.py#L172
<https://github.com/opencog/rocca/blob/c9f24ca76ab710eeff939359d84bd90b7acb11ab/examples/cartpole.py#L172>
But in the other examples it's already learning such hypotheses by
itself?
Best regards,
Patrick
On Monday, July 12, 2021 at 1:01:24 PM UTC Nil wrote:
Thanks Adrian,
I'm thinking of making it monthly for now.
I suggest 3pm EEST, every 1st Friday of the month. Starting either
August or September, depending on my summer vacations. I'll send
more
info prior to the call.
Nil
On 6/24/21 11:10 PM, Adrian Borucki wrote:
> My availability would be from 11:00 CEST (so 12:00 EEST) to
19:00 CEST
> (so 20:00 EEST).
>
> On Tuesday, 22 June 2021 at 23:22:12 UTC+2 Nil wrote:
>
> On 6/22/21 6:50 PM, Nil Geisweiller wrote:
> > My availability would be
> >
> > 8am-3pm (EEST) (ideal, cause I'd be systematically available)
> > 4pm-10pm (EEST) (less ideal but possible)
>
> Actually it'd be more like
>
> 8am-3pm (EEST) (ideal, cause I'd be systematically available)
> 7pm-10pm (EEST) (less ideal but possible)
>
> Nil
>
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