On Fri, Oct 24, 2008 at 7:24 PM, Russell Wallace
<[EMAIL PROTECTED]> wrote:
> On Fri, Oct 24, 2008 at 4:09 PM, Vladimir Nesov <[EMAIL PROTECTED]> wrote:
>> If that allows AI to understand the code, without directly helping it.
>> In this case teaching it to understand these other languages might be
>> a better first step.
>
> And to do that you need to give it a specification of those languages,
> and the ability to reason about the properties of a program given the
> code plus the specification of what it's written in; and you need a
> language in which to write the code to do all that; which brings us
> back to where I started this thread.

Again, if that helps.


>> But, speaking of application to debugging software, I long ago came to
>> conclusion that you'd need to include unreasonable amount of
>> background information which you won't even be able to guess relevant
>> to make AI do what you need with things that are not completely
>> defined.
>
> It's a hard problem isn't it? Science fiction about Friendly AI
> rewriting the solar system is entertaining, but to really get to grips
> with the matter, start with trying to figure out how to write one that
> understands how to make the Firefox option "always perform this
> action" work for all file types.
>
> Where (if anywhere) do you see AGI going in our lifetimes, if you
> think software debugging will remain too difficult an application for
> the foreseeable future?
>

It's a specific problem: jumping right to the code generation to
specification doesn't work, because you'd need too much specification.
At the same time, a human programmer will need much less
specification, so it's a question of how to obtain and use background
knowledge, a general question of AI. The conclusion is that this is
not the way.

-- 
Vladimir Nesov
[EMAIL PROTECTED]
http://causalityrelay.wordpress.com/


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