Hello All,
I tried the bank-sentiment analysis problem with POSES/MOSES. I also got
the inference results as mentioned in the txt document. But i don't
understand it.
The goal is to learn a model that predicts the column Q3, a value between 1
and
11.
the command to make inference out of
Hello All,
i read that, Atomspace is a neural-symbolic network. How?
or is it only a weighted hypergraph? Could any one please explain?
Thanks,
Vishnu
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Hi,
InheritenceLink Nageen human
strength - represents True/false
Confidence - expresses degree of strength, expresses how certain/
uncertain the strength is.
InheritenceLink Nageen human <.9, .9>
InheritenceLink Nageen monster <.9, .1>
this indicates that there
> Yeah Nil. I think, the output is not in the suitable format to run FC/BC.
> i extracted R2L parses and it is like the following:
((ImplicationLink (stv 1 1)
(PredicateNode "for@bd1dfde9-6b3c-4b90-912e-c0f9815cf2b1" (stv
9,7569708e-13 0,0012484395))
(PredicateNode "for" (stv
Hi Linas,
Well, we do have some code in the opencog.nlp/relex2logic directory (aka
> R2L) that will convert the English-language sentence "Frogs eat flies" into
> a format that PLN can operate on.
>
> But if you just want to do some basic reasoning with simple English
> sentences, then
Hi Nil,
Currently, as there are no working example files for FC/BC, i thought i
could come up with some examples and contribute.
So far, i have tested simple rule like Deduction and got that working. But
now i wanted to try some other different rule.
So, as per
Thanks Nil. Yeah. That was the problem. I have mistakenly entered the
> parameters. I did not get from any example file. Now it works as expected.
I have also created a GitHub Issue for not returning appropriate err
message.
Cheers,
Vishnu
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I installed the recent version and tried FC. Previously i used to work
> with only three arguments. But now as it requires four parameters, i gave
> empty ListLink additionally. But it throws Error.
My scm has:
(load "/opt/opencog/opencog/pln/rules/deduction-rule.scm")
I tried like this and it worked !! :-)
echo -e "(define out (open-output-file \"/opt/opencog/file.txt\"))\n(write
> (nlp-parse \"hello world.\") out)\n(close-output-port out)\n" | nc
> localhost 17004
>
Cheers,
Vishnu
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Hello all,
I just want to write the output of (nlp-parse "This is a test.") to a file.
So i tried like this,
echo "(nlp-parse \"This is a test.\")" | nc localhost 17004 > file.txt
But i got only the following in the file and not the expected
SentenceNode.
[0;34mguile [1;34m> [0m
> Sorry I don't understand. What do you mean by "input". Could you give me
> an example?
I meant, instead of giving "input" like the following, which involves the
variable " X"
(ImplicationScope (stv 1.0 1.0) (TypedVariable (Variable "$X") (Type
"ConceptNode")) (And (Evaluation
Thanks NIL.
I have read the URE documentation. It is clear enough for me to understand.
> But under "Forward Chainer", you have written,
" It currently uses a rather brute force algorithms, select sources and
rules somewhat randomly,..". But i think, currently we select the source
Thanks Nil. But i have few questions.
1. In real time reasoning, each and every time will you look at the
input data and decide the rules manually?
2. Only when the input is in certain form of the rule (or matches with
the rule) which is being chosen, we obtain inferences?
Hi,
I tried DefineLink. But the problem is i can define my ID only once. Since
it is used to give an unique name.
(DefineLink
(DefinedSchemaNode "ID1")
(InheritanceLink (stv 0.9 0.9)
(ConceptNode "Einstein")
(ConceptNode "man")))
(DefineLink
(DefinedSchemaNode "ID1")
(ListLink
:
>
>> I just checked it and it works for me.
>>
>> On Mon, Mar 6, 2017 at 5:50 PM, Vishnu Priya <vishnup...@gmail.com
>> > wrote:
>>
>>>
>>>
>>>
>>> Thanks for the quick reply Misgana. I have exactly done as what you
>
> I forgot to tell you, when i run "npm test ", it throws an error.
>
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I also clicked on "SlideMode" but nothing happend.
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Hello all,
Currently i am stimulating atoms and trying "Glimpse" for visualization.
I have started REST API, successfully connected to localhost:9000 and i am
able to see Glimpse GUI. (i have also attached some pics).
But i don't know how to visualize my atomspace and Attentional Focus.
kinda look like this:
>
> (AssociativeLink (stv 0.9 0.9)
> (InheritanceLink (stv 0.9 0.9)
> (ConceptNode "Einstein")
> (ConceptNode "violin-players")
> )
> (NumberNode "8787")
> )
>
>
>
> On Tuesday, Februa
Thanks for the reply, Roman.
So, should it be like this
(EvaluationLink
HebbianLink
(PredicateNode "sweet@3fe00455-333f-4cd8-a488-1d23f81c4546")
(ListLink
(ConceptNode "oranges@33c76dd3-d3c1-4e38-b2ba-b77abfbebadb")
(NumberNode 7878
)
In general, i parse and get r2l
Hi,
This is the data, that i gave,
(EvaluationLink
(PredicateNode "eats")
(ListLink
(ConceptNode "tom")
(ConceptNode "chicken-feet")
)
)
(InheritanceLink (stv 0.9 0.9)
(ConceptNode "tom")
(ConceptNode "chinese")
)
(EvaluationLink
Hello,
Is Backward chainer matured now?
A month ago or so, Nil told that it would work soon.
Like forward chainer, is it possible to try backward chainer now ?
Cheers,
Vishnu
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t; PredictiveImplication
> finding X so that A(X)
> fulfilling "learn new things" goal
>
> This is somewhat elaborate for a simple thing, but would be a good
> exercise in using the architecture...
>
> -- Ben
>
>
> On Thu, Jan 26, 2017 at 9:16 AM, Vi
Hi,
for ex. i have the following input.
Bob lives in china. Bob likes chicken-feet.
Jim lives in america. Jim likes pizza.
Tim lives in china. Tim likes chicken-feet.
Joe lives in china.
Say, my goal is to find who eats chicken-feet.
1. How can i define Goal and action for my MindAgent
on, Nov 21, 2016 at 6:16 PM, Vishnu Priya <vishnup...@gmail.com
> > wrote:
>
>> Hello,
>>
>> I know that i could give input to the chatbot by (nlp-parse "the sky is
>> beautiful").
>> But i also tried giving it a scm file, which has the parses of
Hello,
I know that i could give input to the chatbot by (nlp-parse "the sky is
beautiful").
But i also tried giving it a scm file, which has the parses of the above
sentence using (primitive-load .).
Then i tried querying by asking (process-query "What is beautiful"). But it
says, sorry!
work on "mental
> models" but it's currently hard.
>
> --linas
>
>
> On Sat, Nov 19, 2016 at 6:06 AM, Vishnu Priya <vishnup...@gmail.com
> > wrote:
>
>>
>> I also had an another idea of coupling the sentences along with their id.
>> Ex. Wh
ies things a little bit. Some of the reference links
> should probably be EvaluationLinks. The lexical functions need to be
> improved, a lot. The current output is documented here:
> http://wiki.opencog.org/w/RelEx_OpenCog_format but it could be
> over-hauled and improved, i
Hello,
I am trying the following:
As sentences come in, it should go through NLP pipeline i.e. parsed by
Relex and should be stored in DB automatically.
Because i can't manually do all the time giving sentence to relex server
localhost , save the results in a scheme file, load and store
Misgana told that, if i want to get STI for atoms, i need to start-ecan and
give stimulus. I did it and also saw atoms with STI in attentional focus.
Now, I have a doubt. Please rectify me, if i am wrong.
when i start ecan and give stimulus, automatically PLN starts the inference
process
> You need to open the database before creating atoms;
>
> Yeah. I did the following:
guile> (use-modules (opencog) (opencog atom-types) (opencog persist-pgsql)
(opencog openpsi))
guile> (pgsql-open "xxx" "yyy" "zzz")
()
guile>(primitive-load "/opt/opencog/opencog/scm/test.scm")
guile>
Thnaks Linas for the reply.
> I would like to know some more info about Truth values.
>
How is atom's truth value is updated based on new observations?
How can truth values of certain atoms in a particular context change a lot?
( i came across this line in the book, "*if truth values of
Thanks Misgana for the info. I followed the steps as below. But cof-af is
() empty. What am i missing here?
>
>
opencog> loadmodule /opt/opencog/build/opencog/attention/libattention.so
done
opencog> start-ecan
Started the following agents:
opencog::AFImportanceDiffusionAgent
Hey Roman,
Thanks, that helped a lot to get more insight. :-) I shall ask Misgana
about stimulating atoms.
Cheers,
Vishnu
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