HI Subutai,

I think I did see that, but I don't see how it solves the problem in the
way that Jeff's new idea does. This is for a number of reasons. First, as
you say, the solution is meta-neural (ie you have to come up and have data
structures remembering lots of previous states); secondly, you have to do
this again for each extension of the sequence into the past, so you would
quickly run out of segments; finally (and most importantly), you would lose
or dilute the current TP functionality of confidently predicting the next
step, because you wouldn't (without tagging each segment) be able to
distinguish which timestep(s) made which contribution to the predictive
state.

Jeff's solution (with my adjustments) provides you with a weighted
predictive state in Layer 4 which grows in confidence as more and more
elements of the sequence appear, is stable over any length of sequence,
shows you roughly where you are in the sequence, and also give you an
indication of how to move though the sequence (either in time with rewind,
pause and play, or via actual motor commands). It works with the current
CLA in Layer 3 to give you both fast and slow-changing SDR's, and also
provides a mechanism for Layer 5 to emit motor commands in the context of
the sequence (by projecting representations of [target-state, motor
command].

On the point of illustrations, absolutely a great idea.

Regards,

Fergal Byrne


On Tue, Jan 28, 2014 at 5:02 PM, Matthew Taylor <[email protected]> wrote:

>
> On Tue, Jan 28, 2014 at 8:46 AM, Subutai Ahmad <[email protected]>wrote:
>
>> One thing we'll want to do with the new proposal is to create detailed
>> step by step illustrations of every aspect.  This was sorely missing I
>> think in the whitepaper. It would be awesome if anyone wants to contribute
>> with this.
>
>
> *cough* Patrick Higgins! *cough*
>
> ---------
> Matt Taylor
> OS Community Flag-Bearer
> Numenta
>
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>


-- 

Fergal Byrne, Brenter IT

<http://www.examsupport.ie>http://inbits.com - Better Living through
Thoughtful Technology

e:[email protected] t:+353 83 4214179
Formerly of Adnet [email protected] http://www.adnet.ie
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