Shujing,

On 06/25/2017 05:06 PM, Shujing Ke wrote:
My son seems better today, starts to be playful again and more willing
to eat and drink. But still have diarrhea.

Great!


I will implement exporting patterns first. And then the interestingness
evaluation inside 1-gram pattern when Nil gives the small test corpus.

BTW, there's gonna be a bit of time before I can hand you the corpus as I'm attempting to generate it from an actual inference control learning experiment, I'd say in a week or so.

Meanwhile if you could take a look at

https://github.com/opencog/opencog/issues/2787

specifically the first item which is a question to you. Also, having the pattern miner unit test pass would be great. As I explain at the end of the issue, I may prefer to do these changes myself as they will help me to get familiar with the pattern miner code. Of course if you'd rather take care of them, for educational purpose or whatnot, you are free to do so as well.

Nil


Thanks,
Shujing

On Sun, Jun 25, 2017 at 9:33 AM, Ben Goertzel <[email protected]
<mailto:[email protected]>> wrote:

    Hi Shujing,

    > 4. About the interestingness evalution
    >
    > I didn't quite get the meaning of the rich(x) and z(y) and
    married(x,y)
    > example.
    > I think it is also related to the pattern gram. For below 2
    patterns: x,y,z
    > are variables
    > pattern A:  rich(x) and z(y) and married(x,y)
    > pattern B:  rich(x) and cute(y) and married(x,y)
    >
    > If they are represented as 3 gram patterns, then it may be able to
    just
    > evaluate their interesingness by surpringness
    > pattern A:
    > InheritanceLink  x  rich
    > InheritanceLink  y  z
    > EvaluationLink married x y
    >
    > pattern B:
    > InheritanceLink  x  rich
    > InheritanceLink  y  cute
    > EvaluationLink married x y
    >
    > If they are represented as 1 gram patterns, then I can implement an
    > interestingness evalution based on the variables inside one root link.
    > pattern A:
    > ImplicationLink
    >     AndLink
    >         InheritanceLink  x  rich
    >         InheritanceLink  y  z
    >     EvaluationLink married x y
    >
    > pattern B:
    > ImplicationLink
    >     AndLink
    >         InheritanceLink  x  rich
    >         InheritanceLink  y  z
    >     EvaluationLink married x y

    Well it seems that the mathematical basis of the interestingness
    evaluation is the same whether we view this as a 3-gram pattern or as
    a 1-gram pattern

    So I guess the answer is that, yeah, the interestingness evaluation
    has to be able to look at multiple variables within a "1-gram" and
    also across different "grams" ...

    There may be surprisingness

    -- within a single "gram"

    -- among multiple "grams"

    -- involving, say, 2 variables in one gram, and then 2 variables in
    another gram

    (where i'm using "gram" as a shorthand for "set of Atoms supervened
    over by a single root link")

    ben

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