*in an ,_,

On 9/29/08, Eric Burton <[EMAIL PROTECTED]> wrote:
> Extracting meaning from text requires context-sensitivity to do
> correctly. Natural language parsers necessarily don't reason about
> things. An AGI whose natural-language interface was abstracted via
> some good parser could make suppositions about the constructs it
> returned by interpreting them inside of the contexts that are most
> relevant. But, this would only save the cognitive layer the trouble of
> converting grammar to symbols and vice-versa. If an AGI could acquire
> language naturally I think it would be in a better position to use it
> well than if it only ever uses it via an abstracted interface. An
> oblique parser/sentence generator mechanism seems like a sensible way
> to implement internationalization, however. Although you can also
> always do machine translation on the I/O of an AGI that only speaks
> English...
>
> I can see a grammar engine as a mechanical form of grounding, like a
> robot body, but only barely. I think an AGI so grounded would
> eventually seek another way to communicate. At some point its
> creativity and ability to communicate ideas would exceed that of its
> sentence generator, and its comprehension would be greater than that
> of its parser. I'm not sure these belong in AGI design. But, I could
> be wrong.
>
>
> On 9/29/08, Mike Tintner <[EMAIL PROTECTED]> wrote:
>> Eric,
>>
>> Thanks for link. Flipping through quickly, it still seemed sentence-based.
>>
>> Here's an example of time flipping - "fast-forwarding" text - and the kind
>> of jumps that the mind can make
>>
>> "AGI Year One. "AGI is one of the great technological challenges. We
>> believe
>> we have the basic technology - the basic modules - to meet that
>> challenge."
>> AGI Year Five. "We can reach the goal of AGI in 10 years, if we really,
>> really try."
>> AGI Year Ten.  "It may take longer than we thought, but we can get
>> there..."
>> AGI Year Fifteen: "It's proved a much larger problem than we ever
>> imagined.."    "
>>
>> [n.b. I'm not trying to be historically or otherwise accurate :)
>>
>> But note how your mind had no problem creating a v. complex underlying
>> time-jumping scenario to understand - and fill/read between the lines of -
>> that text. No current approach has the slightest idea how to do that, I
>> suggest.  You can't do it by a surface approach,  simply analysing how
>> words
>> are used in however many million verbally related sentences in texts on
>> the
>> net.
>>
>>
>>
>>> http://video.google.ca/videoplay?docid=-7933698775159827395&ei=Z1rhSJz7CIvw-QHQyNkC&q=nltk&vt=lf
>>>
>>> NLTK video ;O
>>>
>>> On 9/29/08, Mike Tintner <[EMAIL PROTECTED]> wrote:
>>>> David,
>>>>
>>>> Thanks for reply. Like so many other things, though, working out how we
>>>> understand texts is central to understanding GI - and something to be
>>>> done
>>>> *now*. I've just started looking at it, but immediately I can see that
>>>> what
>>>> the mind does - how it jumps around in time and space and POV and
>>>> person/subject - and flexibly applies its world/subworld models - is
>>>> quite
>>>> awesome.
>>>>
>>>> I think the word/sentence focus BTW is central to cognitive science
>>>> *and*
>>>> the embodied cog. sci. of Lakoff and co.  as well as AI/AGI.
>>>>
>>>> But the understanding of language understanding will only really come
>>>> alive
>>>> when we move the focus to passages - and how we use language to
>>>> construct
>>>>
>>>> a)
>>>> stories b) arguments and c) scenes (descriptive passages).   [I wonder
>>>> whether there are any other major categories of language].
>>>>
>>>> It also entails a switch from just a one-sided embodied POV to a
>>>> two-sided
>>>> embodied-embedded overview, looking at how language is embedded in the
>>>> world.
>>>>
>>>> To focus on sentences alone is like focussing on the odd frame in a
>>>> movie.
>>>> You can't get the picture at all.
>>>>
>>>> A passage/text approach will v. quickly answer Matt's:
>>>>
>>>> "I mean that a more productive approach would be to try to understand
>>>> why
>>>> the problem is so hard."
>>>>
>>>>
>>>>   David:
>>>>
>>>>     How does Stephen or YKY or anyone else propose to "read between the
>>>> lines"? And what are the basic "world models", "scripts", "frames" etc
>>>> etc.
>>>> that you think sufficient to apply in understanding any set of texts,
>>>> even a
>>>> relatively specialised set?
>>>>
>>>>     (Has anyone seriously *tried* understanding passages?)
>>>>
>>>>   That's a most thoughtful and germane question! The short answer is no,
>>>> we're not ready yet to even *try* to tackle understanding passages.
>>>> Reaching
>>>> that goal is definitely on the roadmap though, and there's a concrete
>>>> plan
>>>> to get there involving learning through vast and varied activities
>>>> experienced over the course of many years of practically continious
>>>> residence in numerous virtual worlds. The plan indeed includes the
>>>> continuous creation, variation and development of mental world-models
>>>> within
>>>> an OCP-based mind. Attention allocation and many other mind dynamics
>>>> (CIMDynamics) crucial to this world-modeling faculty must be adequately
>>>> developed, tested and tuned as a pre-requisite to begin trying to
>>>> understand
>>>> passages (and, also to generate and communicate imagined world-models as
>>>> a
>>>> human story teller would do; a curious byproduct of an intelligent
>>>> system
>>>> that can reason about potential events and scenarios!)
>>>>
>>>>   NB: help is needed on the OpenCog wiki to better document many of the
>>>> concepts discussed here and elsewhere, e.g. Concretely-Implemented Mind
>>>> Dynamics (CIMDynamics) requires a MindOntology page explaining it
>>>> conceptually, in addtion to the existing nuts-and-bolts entry in the
>>>> OpenCogPrime section.
>>>>
>>>>   -dave
>>>>
>>>>
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