Re: generative KR 2. a step back

Thank you Dave for picking up the challenge
Lets hope we can stay friends throughout :-)
The article was just providing some reading material, it is not
representative of the broader topic

Yes, I need to provide a definition, at the same stime I am still just
beginning to formulate the question, so bear with me

Given the preferred choice of definition for GenAI, and for KR, I would put
the two together.  So if we accept that GAI is, say


*Generative artificial intelligence (also generative AI or GenAI) is
artificial intelligence capable of generating text, images, or other media,
using generative models.(Wikipedia)   *
*AND for KR    explicit knowledge used by intelligent algorithms for the
purpose of computation (PDM)*
*//other definitions welcome//  *


one could say that

Generative KR is the explicit knowledge used by intelligents algorithm to
run generative models

Obviously there are a number of areas that need to be tackled further
1. if we agree that GenAI is based on ML, it can be argued  that ML does
not use KR much
But others disagree, including myself
2. At what stage does the KR for GenAI come into being? before, during or
after the generation process?

takes please




On Wed, Sep 20, 2023 at 9:38 AM Dave Raggett <dsr@w3.org> wrote:

> I think your assertion needs better definition. How do you want to define
> “generative KR” and how does that relate to “algorithm design”?
>
> The paper starts by talking about generalising from numbers to symbols as
> variables. However, they too don’t define what they mean by “generative”.
>
> Large language models can handle such generalisations using unguided
> training for the foundation models, followed by reinforcement learning with
> human feedback, e.g. to deal with exam questions that require step by step
> answers.
>
> An open question is how to design neural networks capable of reflective
> cognition for generating and evaluating learning hypotheses.
>
> On 20 Sep 2023, at 08:02, Paola Di Maio <paola.dimaio@gmail.com> wrote:
>
> I seem to come across very interesting research but the underlying
> assumption is that questions surrouding generative AI (hence KR) are
> coupled with learning and knowledge acquisition.
> Here is another good  bacground read on the subject
>
> How is Abstract, Generative Knowledge Acquired?
> A Comparison of Three Learning Scenarios
> https://conferences.inf.ed.ac.uk/cogsci2001/pdf-files/0710.pdf
>
>  But I would take a step back. and tackle  the question of generative KR
> not as a learning
> process or learning outcome or learning task, ie, not a posteriori, not
> after K is generated
> but before, when algorithm is design.  I think generative KR happens in
> the algorithm design
> Happy to have a fight over this with anyone
>
>
> Dave Raggett <dsr@w3.org>
>
>
>
>