But Nil -- those record-keeping links can be put in an auxiliary
Atomspace, not necessarily the same Atomspace where the main thrust of
reasoning is proceeding...

On Mon, May 21, 2018 at 8:45 AM, 'Nil Geisweiller' via opencog
<[email protected]> wrote:
> On 05/19/2018 09:00 PM, Alexey Potapov wrote:
>>
>> Our knowledge is built from data. Deduction systems (probabilistic or not)
>> lack this connection, while functional PPLs are well-suited for this.
>
>
> Deduction system can be understood very broadly, and may encompass
> inferences based on PPL models as well.
>
> PLN definitely draws, at least in principle, the relationship between
> deduction and data.
>
> ATM in practice it's a bit lacking though, for instance the link between the
> TV
>
> Implication <TV>
>   P
>   Q
>
> obtained from instances of P and Q is forgotten after the inference. This
> should be corrected. Meaning the inference rule
>
> D ;; <- instances of P and Q
> |-
> Implication <TV>
>   P
>   Q
>
> should be more something like
>
> LinkBetweenDataAndImplication <TV>
>   D ;; <- instances of P and Q
>   Implication
>     P
>     Q
> d ;; <- new instance pair of P and Q
> |-
> LinkBetweenDataAndImplication <TV_update>
>   Cons
>     d
>     D
>   Implication
>     P
>     Q
>
> It would also provide an incremental way to calculate the TV as opposed to
> batch processing every time.
>
> It's kinda scary, computationally wise, but it seems to do well most
> inference traces need to be recorded, not just conclusions. Yet another
> meta-learning black hole...
>
> Nil
>
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-- 
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