The most direct way to approach this sort of problem in OpenCog would
be just as a backward chainer query.... Nil is currently a few hours
away from having the backward chainer ready for you to try on these
sorts of problems...
Alternately, one could use ECAN, and one could write a function (say a
loop in a Scheme function) that repeatedly stimulates the Atom
A(X) :=
LambdaLink
EvaluationLink
PredicateNode "eats"
ListLink
VariableNode $X
ConceptNode "chicken"
with ShortTermImportance (STI) ...
Then one could create a Goal Atom of "learn new things" ... and then a
Psi implication saying, basically,
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, Vishnu Priya <[email protected]> wrote:
> 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.
>
> How can i define Goal and action for my MindAgent as OpenPsi rules or there
> exists already any example, so that i can play? Where do i start with?
> when the goal is defined, will the agent selects action/procedure based on
> reasoning. is this where PLN comes into act and high STI actions gets
> selected in order to attain the goal?
>
>
>
> Cheers,
> Vishnu
>
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--
Ben Goertzel, PhD
http://goertzel.org
“I tell my students, when you go to these meetings, see what direction
everyone is headed, so you can go in the opposite direction. Don’t
polish the brass on the bandwagon.” – V. S. Ramachandran
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