Fwd: Welcome to the Cognitive AI CG

Arto and Tolga, Thank you for joining AI KR CG and welcome

I am reposting here your intro sent to COGAI CG for the benefit of members
who are not subscribed to both

Please do share with our CG anything relevant to AI KR

On this list we share mostly pointers to relevant topics of interest with
the idea to keep a tab on what is going on in AI KR
(very broad subject) .  See the list archives for a general idea - not much
discussion going on (except for the occasional
 fundamental debate)

Here a summary of the activities up to 2022
https://www.w3.org/community/aikr/wiki/File:AI_KR_FIRST_REPORT_PUBLISHED_VERSION.pdf
I have since published some ideas of a metamodel for neurosymbolic KR

I have published a few papers on Neurosymbolic KR (different take from the
NS KR mainstream literature you may find elsewhere)

and introduced System Level KR in the various contexts (during pandemics,
in neuroscience and in edge intelligence) Unfortunately behind paywall

I am due to post some open access summaries and to tidy up the CG wiki when
I have the bandwidth to do so

We look forward to hear from you

Best

Paola DM
AI KR CG Founding co-chair




---------- Forwarded message ---------
From: Arto Bendiken <arto@haltia.ai>
Date: Wed, Nov 29, 2023 at 10:08 AM
Subject: Re: Welcome to the Cognitive AI CG
To: Dave Raggett <dsr@w3.org>
Cc: public-cogai <public-cogai@w3.org>, Tolga Çöplü <tolga@haltia.ai>


Hi Dave,

[Reposting since the previous appears to have been held up by the
postmaster.]

On Sat, Nov 18, 2023 at 1:59 PM Dave Raggett <dsr@w3.org> wrote:
> Hi Arto,
>
> Welcome to the W3C Cognitive AI CG.  I encourage you to email the group
with a brief account of your interest and intentions.  So far we have
mostly worked on chunks and rules, inspired by John Anderson’s ACT-R, and
PKN (plausible knowledge notation) inspired by Alan Collins, with demos and
draft specifications for both.
>
> I see opportunities for further work on extending PKN to model tactics
and strategies for defeasible reasoning, and for new work on neural network
architectures to experiment with ideas for enabling continual learning,
episodic memory and reflective cognition, see:
http://www.w3.org/2023/10/10-Raggett-AI.pdf. If you are a programmer, your
help with the latter would be much appreciated.

Thanks for the welcome! I'm here to learn more about representing and
reasoning with uncertain/imprecise knowledge in relation to LLM use cases
in industry.

I've so far ingested your KGSWC-2023 paper, slide decks, several talk
recordings, and the PKN draft spec. Excellent materials. Next, I'm looking
forward to following up on Collins and other references, and examining the
GitHub repository in more detail.

Also joining the group and mailing list is my colleague Tolga, copied here.

Kind regards,
Arto

CTO, Haltia.AI <https://haltia.ai>