Johannes
On Mon, Feb 4, 2019 at 9:10 AM 'Nil Geisweiller' via opencog
<[email protected] <mailto:[email protected]>> wrote:
Hi Johannes,
I'm in the debugging phase of porting Shujing's I-surprisingness code
https://wiki.opencog.org/w/Measuring_Surprisingness to the new pattern
miner (struggling against what seems to be a pattern matcher bug ATM).
In parallel I'm reviewing the literature on surprisingness and
writing a
document to go beyond that code. It seems surprisingness is not only
relative to the knowledge available but also to how someone "thinks"
about something. So far I have come to the conclusion that, in its most
abstract form, surprisingness is merely the distance between the
outcomes of 2 inferences, and all specializations of surprisingness can
be derived from that abstraction. We'll see how that goes.
Porting Shujing's code will be for sure ready within 2 weeks. Going
beyond that code is gonna take a lot more time as it is research.
Nil
On 2/4/19 10:33 AM, Johannes Castner wrote:
> Hi Nil,
>
> Fascinating indeed!
>
> What is the status of the pattern miner and the interestingness
> measure? I'm not asking because I'm in a rush (I still have
about two
> weeks before I'm ready), before I can use it for my dissertation
paper,
> I still have work to do with respect to the AtomSpace
representation of
> the ontologies and also with auto-scaling of my system's memory
so that
> I can load in the Gazetteer, which is huge. I think that in
about two
> weeks, I'd like to give that interesting pattern mininer a spin
on the
> AtomSpace filled with two ontologies along with a huge, global
> gazetteer, if I can. Gdelt might also be an interesting source of
> knowledge to learn new things about Sustainable Development from
> (https://www.gdeltproject.org/). In the meantime, I'm working on
> encoding as much about those relationships as there is
information for
> in the ontology: if a relationship is transitive, symmetric, etc.
I want
> to at least encode that in addition to the Evaluation PredicateNode
> construct, which I understand, but I think that coding more of the
> correct structure will help to gain better insight. In the medium
term,
> I'd be interested in seeing if the full
social-cultural-institutional
> meaning of particular types of relations (what do they predict,
etc.)
> could emerge from intense online interactions between people and the
> AtomSpace. That is what I'm working towards academically, while
trying
> to make use of it for business so that I can finance the operation.
>
> Johannes
>
>
> On Sunday, February 3, 2019 at 6:11:24 AM UTC, Nil wrote:
>
> On 2/2/19 6:26 PM, Johannes Castner wrote:
> > Let me ask you this: how much of the work in this book has
been
> > implemented as part of opencog, thus far:
> > https://link.springer.com/book/10.2991/978-94-91216-11-4
> <https://link.springer.com/book/10.2991/978-94-91216-11-4>
>
> If you're talking about part III of the book, not much.
However PLN
> relies now on a much more powerful tool, the URE. At the time of
> writing
> the book, PLN was hard-coded in C++ and somewhat inflexible.
>
> Back then it had
> - Extensional and intensional reasoning
> - A bit of contextual reasoning
> - Maybe some embryonic causal/spatio/temporal reasoning
> - No dynamic control mechanism
>
> The new PLN has
> - Extensional reasoning
> - No/broken intensional reasoning
> - No/broken contextual reasoning
> - No causal/spatio-temporal reasoning
> - Dynamic control mechanism, capable of meta-learning. :-)
>
> What we have gained is that OpenCog is able to learn how to
control its
> own reasoning and even rewrite its own reasoning rules. The
counterpart
> is that we still need to port intensional, contextual, causal and
> spatio-temporal reasoning.
>
> If you're interested, there is an example of control
meta-learning
>
>
https://github.com/opencog/opencog/tree/master/examples/pln/inference-control-learning
>
<https://github.com/opencog/opencog/tree/master/examples/pln/inference-control-learning>
>
>
> Nil
>
> > Is the work on this set of ideas dead in the water or is this
> actively
> > pursued and lastly, may we help with it? We're definitely
eager
> to help
> > where we can, as we're trying to build on these ideas.
> >
> > Johannes
> >
> >
> > On Saturday, February 2, 2019 at 3:09:54 PM UTC, linas wrote:
> >
> >
> >
> > On Sat, Feb 2, 2019 at 4:03 AM 'Nil Geisweiller' via
opencog
> > <[email protected]
<mailto:[email protected]> <javascript:>> wrote:
> >
> >
> > I'm longing to go back to spatio-temporal
reasoning but
> I'm involved
> > with other matters.
> >
> > Linas, Amen? Any idea of how this is going?
> >
> >
> > Seems to be dead in the water. Anyway, all that I was
> plumping for
> > was not really "reasoning" but just simple predicates that
> converted
> > tow 3D points into "in front of", "behind", "next to"
and if
> the 3D
> > points arrived at different times, "before", "after",
just so
> that
> > natural language would get access to the 3D info.
That's all;
> its
> > pretty minimal.
> >
> > Perhaps relevant for Johannes is the "electrical part
of" demo,
> > which shows how to convert a Concept into a Predicate
(and
> how to
> > build complex relations out of simple ones)
> >
> > https://wiki.opencog.org/w/EquivalenceLink
> <https://wiki.opencog.org/w/EquivalenceLink>
> > <https://wiki.opencog.org/w/EquivalenceLink
> <https://wiki.opencog.org/w/EquivalenceLink>>
> >
> > -- linas
> > --
> > cassette tapes - analog TV - film cameras - you
> >
> > --
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