I am not interested in writing a translator.  I don't think I could
write a program to understand the email I just wrote because I used
ideas that are quite advanced.  (Certainly too advanced for a
contemporary agi program and probably too advanced for the majority of
human beings to understand.)

I want to be able to study the problem of using text to enable an AGI
program to learn through the use of conversation without resorting to
a context-free language.  I am certain that I could write an AI
program that could learn if the conversation used a context-free
language.  But an AI program that was capable of learning using a
context-sensitive language as a base for conversation is, in my
opinion, capable of genuine general learning (as far as might be
accomplished within the domain of text).

So I am interested in the question of what do we need to do to get a
program to learn through conversation.  I am not interested in
creating a context-free conversational language because my opinion is
that natural language is based on the fact that the components of a
sentence or a text can add to the understanding of the text.  So
simply resolving the text into some particular context-free
interpretation is not enough for my plan.  Parsing and resolving
context-sensitive or ambiguous phrases is a part of understanding but
there is more to it than that.

Jim Bromer

On Sat, Oct 26, 2013 at 4:43 PM, Matt Mahoney <[email protected]> wrote:
> Do you think you could write a program to parse the email you just
> wrote? Do you think you could write a program to translate it into
> another language?
>
> Language evolved to be efficiently learnable on a very complex,
> embodied, 1 petaflop, 100 TB parallel computer, whose software took 3
> billion years to write, after being fed training data over a 1 Gb/s
> sensory input channel for several years. Are you surprised it's a hard
> problem?
>
> On Fri, Oct 25, 2013 at 10:17 PM, Jim Bromer <[email protected]> wrote:
>> I am convinced that it would be easy to get a text-based Learning-AI
>> program learn to respond in fairly simple ways to simple texts.  (And
>> I will be in a position to try it out in the near future.) The
>> question is whether this kind of ability has to be at the expense of
>> an ability to integrate more sophisticated kinds of learning into it.
>>
>> I just do not see why people have not produced solid examples of
>> simple learning using text-based AI unless the problem was either that
>> they felt they needed to impress the skeptics or they became
>> confounded by their own, more complicated use of language.
>>
>> Simple language does not have to be at the level of a programming
>> language. I think that programming languages are "context free"
>> because even though the apparent context may seem to violate the
>> context of the substrings taken separately, any particular string
>> (that is any grammatical string) will still only generate one
>> particular output.
>>
>> So a computer could (genuinely) learn about simple strings that might
>> not be context free and use them to generate different points.  As
>> long as this was kept relatively simple it should be completely
>> feasible and it might be a good starting point to examine what was
>> going on.  (Even though a text only AI program would not be capable of
>> applying its knowledge in a sophisticated way, it could still
>> constitute genuine learning in my opinion because it would be able to
>> learn new things within the domain of the text-based interactions.)
>>
>> So even though my data management system is neither simple nor
>> sophisticated, I believe that I will be able to use it for simple but
>> somewhat sophisticated kind of learning which would be general within
>> the limits of the domain of text.
>>
>> Jim Bromer
>>
>>
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>
>
> --
> -- Matt Mahoney, [email protected]
>
>
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