Solomonoff Induction is not well-defined because it is either incomputable
and/or absurdly irrelevant.  This is where the communication breaks down.  I
have no idea why you would make a remark like that.  It is interesting that
you are an incremental-progress guy.



On Sat, Jul 17, 2010 at 10:59 PM, Abram Demski <[email protected]>wrote:

> Jim,
>
>
> Saying that something "approximates Solomonoff Induction" doesn't have any
>> meaning since we don't know what Solomonoff Induction actually
>> represents.  And does talk about the "full program space," merit mentioning?
>>
>
> I'm not sure what you mean here; Solomonoff induction and the full program
> space both seem like well-defined concepts to me.
>
>
> I think we both believe that there must be some major breakthrough in
>> computational theory waiting to be discovered, but I don't see how
>> that could be based on anything other than Boolean Satisfiability.
>
>
> A polynom SAT would certainly be a major breakthrough for AI and
> computation generally; and if the brain utilizes something like such an
> algorithm, then AGI could almost certainly never get off the ground without
> it.
>
> However, I'm far from saying there must be a breakthrough coming in this
> area, and I don't have any other areas in mind. I'm more of an
> incremental-progress type guy. :) IMHO, what the field needs to advance is
> for more people to recognize the importance of relational methods (as you
> put it I think, the importance of structure).
>
> --Abram
>
>   On Sat, Jul 17, 2010 at 10:28 PM, Jim Bromer <[email protected]>wrote:
>
>>   Well I guess I misunderstood what you said.
>> But, you did say,
>>  "The question of whether the function would be useful for the "sorts of
>> things we keep talking about" ... well, I think the best argument that I can
>> give is that MDL is strongly supported by both theory and practice for many
>> *subsets* of the full program space. The concern might be that, so far, it
>> is only supported by *theory* for the full program space-- and since
>> approximations have very bad error-bound properties, it may never be
>> supported in practice. My reply to this would be that it still appears
>> useful to approximate Solomonoff induction, since most successful predictors
>> can be viewed as approximations to Solomonoff induction. "It approximates
>> solomonoff induction" appears to be a good _explanation_ for the success of
>> many systems."
>>
>> Saying that something "approximates Solomonoff Induction" doesn't have any
>> meaning since we don't know what Solomonoff Induction actually
>> represents.  And does talk about the "full program space," merit mentioning?
>>
>> I can see how some of the kinds of things that you have talked about (to
>> use my own phrase in order to avoid having to list all the kinds of claims
>> that I think have been made about this subject) could be produced from
>> finite sets, but I don't understand why you think they are important.
>>
>> I think we both believe that there must be some major breakthrough in
>> computational theory waiting to be discovered, but I don't see how
>> that could be based on anything other than Boolean Satisfiability.
>>
>> Can you give me a simple example and explanation of the kind of thing you
>> have in mind, and why you think it is important?
>>
>> Jim Bromer
>>
>>
>>  On Fri, Jul 16, 2010 at 12:40 AM, Abram Demski <[email protected]>wrote:
>>
>>> Jim,
>>>
>>> The statements about bounds are mathematically provable... furthermore, I
>>> was just agreeing with what you said, and pointing out that the statement
>>> could be proven. So what is your issue? I am confused at your response. Is
>>> it because I didn't include the proofs in my email?
>>>
>>> --Abram
>>>
>>   *agi* | Archives <https://www.listbox.com/member/archive/303/=now>
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>
>
> --
> Abram Demski
> http://lo-tho.blogspot.com/
> http://groups.google.com/group/one-logic
>   *agi* | Archives <https://www.listbox.com/member/archive/303/=now>
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