Why is compression "the hard problem of intelligence"? We have compression.
I'd say the hard problem of intelligence is making an AI that builds a boat
and sails in it. We do not have that yet.

On Sun, 6 Oct 2019 at 06:37, James Bowery <[email protected]> wrote:

> Chuck chose my question the first to answer on Slashdot circa 2001
> <https://developers.slashdot.org/story/01/09/11/139249/chuck-moore-holds-forth>.
> As it pertains to the relationship between programming and compression  --
> specifically programming _as_ compression -- and as compression is The Hard
> Problem of Intelligence, you my want to take a gander and consider whether
> you are barking up the right tree with your approach.  So far as I can
> tell, involves inference based on something other than an optimally
> compressed set of facts -- which means it's ill-founded.  Don't feel alone,
> however.  The vast majority of machine learning folks are wandering without
> that compass in the same general desert -- although they are armed with a
> bag of tricks that may have been discovered by those possessing said
> compass.
>
> On Sat, Oct 5, 2019 at 6:38 PM A.T. Murray <[email protected]> wrote:
>
>> MindForth resets associative tags before each operation of Indicative
>> module.
>>
>> In the MindForth artificial intelligence (AI) for robots, we will now
>> start to display an apparatus of diagnostic messages at the start of the
>> Indicative module to tell us the values being held in variables which serve
>> the purpose of creating associative tags to interconnect the concepts being
>> expressed as English words during the operation of the Indicative
>> mind-module. Since the ConJoin module will often insert a conjunction
>> between two thoughts being generated, the AI Mind Maintainer needs
>> assurance that variable-values operative during one thought do not
>> erroneously get carried over past a conjunction into the separate process
>> of generating another thought.
>>
>> Just by resetting the tsj time-of-subject variable to zero at the start
>> of the Indicative module, we have made the Forthmind able to trigger
>> repeated instances of logical InFerence. Each running of the Indicative
>> module amounts to a fresh declaration of the associative tags in the
>> conceptual flag-panel that supports the generation of ideas in the
>> MindGrid. The following dialog still has a few problems, but it shows the
>> repeated triggering of an inference.
>>
>> john is a student
>>
>> DOES  JOHN  READ  BOOKS
>> no
>>
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> A  JOHN  DOES  NOT  READ  BOOKS
>>
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> PROFESSORS  TEACH  THE  STUDENTS  AND
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> STUDENTS  READ  THE  BOOKS
>>
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> I  UNDERSTAND  YOU  AND
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> YOU  ARE  A  MAGIC
>> andru is student
>>
>> DOES  ANDRU  READ  THE  BOOKS
>> no
>>
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> AN  ANDRU  DOES  NOT  READ  THE  BOOKS  AND
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> YOU  READ  THE  BOOKS
>>
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> PROFESSORS  TEACH  THE  STUDENTS  AND
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> STUDENTS  READ  THE  BOOKS
>>
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> STUDENTS  READ  THE  BOOKS  AND
>>   Indicative: tsj= 0 tvb= 0 tdo= 0
>> I  THINK
>>
>> http://ai.neocities.org/mindforth.txt
>>
>> https://groups.google.com/d/msg/comp.lang.forth/7gUrhuaL9gc/j0zMg_3CBQAJ
>>
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-- 
Stefan Reich
BotCompany.de // Java-based operating systems

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