- From: Dave Raggett <dsr@w3.org>
- Date: Mon, 16 Nov 2020 16:53:49 +0000
- To: Amélie Gyrard <amelie.gyrard@trialog.com>
- Cc: Francois Daoust <fd@w3.org>, public-cogai <public-cogai@w3.org>
- Message-Id: <16DEC314-FA8E-432B-B238-986AE99474E0@w3.org>
Hi Amélie, > On 16 Nov 2020, at 14:59, Amélie Gyrard <amelie.gyrard@trialog.com> wrote: > > 2) Regarding your FAQ: > https://github.com/w3c/cogai/blob/master/faq.md <https://github.com/w3c/cogai/blob/master/faq.md> > -> I would like to see an additional question and answer: > How W3C Cognitive AI is built on top of the book: Artificial Cognitive Systems – A Primer <https://www.amazon.fr/Artificial-Cognitive-Systems-David-Vernon/dp/0262028387> [Vernon 2015] > How does it differ? > Which parts are reused? > What are the pros and cons? I’ve not seen this book and would prefer to reference materials that are available freely online. There are many possible references for the cognitive sciences and it is far from obvious which we should cite. The main source of inspiration for me is the lifetime of work by John Anderson on ACT-R and his ideas on combining symbolic and sub-symbolic approaches, but there are lots of others, and it would be impractical to list them all. Much of this work is highly technical and aimed at the author’s own research community. The challenge has been to glean insights from across the different disciplines and forge a fresh synthesis that can be practically applied to building AI systems that mimic human memory, reasoning and learning. Best regards, Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett W3C Data Activity Lead & W3C champion for the Web of things
Received on Monday, 16 November 2020 16:53:53 UTC