Re: the intersection between AIKR and COGAI

: For completeness, Dave shared off list his source for his mention of Alla
M Collin in the post, [1]
also I (PDM) am suggesting that
In order to evaluate and replicate /reproduce the (very fun) image outcome
of Stable Diffusion he shared
https://huggingface.co/spaces/stabilityai/stable-diffusion
we need to know the exact prompt, we also need to repeat the prompt several
times
and find out whether the outcome is reproducible
(I have been unable to reproduce dave's images- dave, pls send the prompts
for us to play with)

You cannot just show the outcome without sharing the process that
generatesREAD it, science and engineering are not just fun, they are also
about delivery some certainty and understanding about what is done by the
system

 This brings me to the point that KR is absolutely necessary to
understand/evaluate/reverse engineer/reproduce * that means make reliable *any
type of reasoning in AI (*cogAI or otherwise)
Avoiding KR is resulting in scaring absurdity in machine learning,
(becauses of  its power to distort reality, depart from truth). I tackle
these topics in my proposed contribution to the call
[image: image.png]
read: The validity and reliability of any AI/COGAI construct can only be
evaluated and made robust through KR, the lack of KR means that what is
being done is not AI at all,

[1]
https://www.semanticscholar.org/paper/Implementing-a-Model-of-Human-Plausible-Reasoning-Baker-Burstein/768abeb56222a948e583e1d5e9daca9af043a3d4


@inproceedings{Baker1987ImplementingAM, title={Implementing a Model of
Human Plausible Reasoning}, author={Michelle Baker and Mark H. Burstein and
Allan M. Collins}, booktitle={IJCAI}, year={1987}

On Wed, Oct 26, 2022 at 7:06 PM Paola Di Maio <paoladimaio10@gmail.com>
wrote:

> Dave, citation pls? we may need to follow up
>  COGAI can make a contribution to AI KR, if we set our minds to it
>
> On Wed, Oct 26, 2022 at 6:01 PM Dave Raggett <dsr@w3.org> wrote:
>
>> Hmm, the authors of this paper aren’t aware of the work by Allan Collins
>> et al. on qualitative metadata and plausible inferences, which is broader
>> in scope than conceptual spaces.
>>
>> On 26 Oct 2022, at 04:21, Paola Di Maio <paola.dimaio@gmail.com> wrote:
>>
>> This article identifies the intersection
>>
>> can be built on
>>
>>
>> https://www.academia.edu/28343999/Conceptual_Spaces_for_Cognitive_Architectures_A_Lingua_Franca_for_Different_Levels_of_Representation
>>
>>
>> Dave Raggett <dsr@w3.org>
>>
>>
>>
>>