Ooof dah.  A master's thesis is not much time, so at best I can suggest
only quick hacks.  And you probably mostly would not need opencog to
implement them.

One quick hack would be to try to discover which bundles or groups of words
dominate nearby paragraphs, and which groups of words recur throughout the
story.  You can then replace those words by other words.  Alternately, if
two paragraphs are closely tied to one-another, but weakly tied to the rest
of the text, you can cut them out entirely, and replace them by some other
paragraphs from elsewhere (after adjusting word-content).

By "words", I really mean nouns and entity names, and all the pronouns that
refer to them (he, she, it ...)  just try to see which ones are near to
one-another, maybe that's enough to "understand" what a paragraph is
talking about.  Verbs might be fun to play with. but you want to avoid
creating sentences like "green ideas sleep furiously".  Thus, cutting and
replacing entire paragraphs makes more sense; and then adjust the nouns so
that the story is still about the same topics.

--linas

On Sun, Oct 1, 2017 at 9:50 PM, William Taylor <[email protected]>
wrote:

> Thank you for responding. If you can give me some ideas, I may be able
> to create the code myself, or help create it. I am not the greatest
> programmer but I can learn and improve. I would like to use this for
> my termination project for my Masters at Binghamton University in New
> York.
>
> On 10/1/17, Linas Vepstas <[email protected]> wrote:
> > Not at this time. We have ideas about this, but no code. --linas
> >
> > On Wed, Sep 27, 2017 at 4:21 AM, [email protected] <
> > [email protected]> wrote:
> >
> >> Is it possible to use opencog to input stories and break them apart,
> >> distort them, and then assemble them in new ways to create "new"
> stories?
> >>
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*"The problem is not that artificial intelligence will get too smart and
take over the world," computer scientist Pedro Domingos writes, "the
problem is that it's too stupid and already has." *

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