- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Fri, 20 Sep 2019 15:31:54 +0800
- To: Dave Raggett <dsr@w3.org>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=Sor17G17rn1dnefEFio3TrxA1vX=78rhSN9DaCKAZqQRQ@mail.gmail.com>
well, Its up to you, as the lead researcher- I normally start with creating an outline of what I want to say (and I never really finish that so generally a lot of things happen before I finish the outline) what is the main message? what do you think are the main issues? and worry about packaging after deciding the outlet. I am sure there are A LOT of possible journals who could be interested in cognitive engineering and knowledge representation. In this first instance, I would encourage a generic draft to outline the core issues you want to assert, and then we can discuss who could be interested in publishing and scoping the paper properly afterwards P On Fri, Sep 20, 2019 at 3:26 PM Dave Raggett <dsr@w3.org> wrote: > In respect to papers, what would be the target audience, and what would > the scope be? > > On 20 Sep 2019, at 07:38, Paola Di Maio <paoladimaio10@gmail.com> wrote: > > definitely both!! > I would not want any limits personally to knowledge > PDM > > On Fri, Sep 20, 2019 at 2:13 PM Dave Raggett <dsr@w3.org> wrote: > >> Just to clarify. Are you limiting KR to declarative knowledge or do you >> also include procedural knowledge. Both are needed for many use cases of >> reasoning with cognitive systems. >> >> On 20 Sep 2019, at 03:04, Paola Di Maio <paoladimaio10@gmail.com> wrote: >> >> Dave, >> thanks for sharing >> I am completely busy until the end of the year - but in the mid-longish >> term >> I may be interested to co author a generic paper on the KR aspects of >> your project, because from cognitive systems model perspecive >> If that can be of interest, perhaps, start a doc with some initial >> questions and link it to the wiki and maybe at some point we can have a >> call to discuss the way forward? >> PDM >> >> >> On Thu, Sep 19, 2019 at 12:07 PM Dave Raggett <dsr@w3.org> wrote: >> >>> Academic/personal interest with support from the Boost 4.0 European >>> project on smart manufacturing. >>> >>> On 19 Sep 2019, at 04:11, Paola Di Maio <paola.dimaio@gmail.com> wrote: >>> >>> Thank you Dave >>> hope your talk at TPAC is going well - do you have any recordings of >>> your talk? >>> Our meeting starts soon and d virtual room should enable everyone to >>> attend >>> >>> Regarding your questions, I am interested in the KR representation >>> aspects >>> of the work. is this work academic. or for a company? >>> >>> PDM >>> >>> >>> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=icon> Virus-free. >>> www.avast.com >>> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail&utm_term=link> >>> >>> On Thu, Sep 19, 2019 at 11:03 AM Dave Raggett <dsr@w3.org> wrote: >>> >>>> I’ve been working on adapting ideas from John R. Anderson’s work on >>>> ACT-R, as a basis for web-based cognitive agents. This provides a framework >>>> for data and rules based upon chunks - a term from psychology for a >>>> collection of things that are easier to remember as a group. Chunks embrace >>>> both RDF triples and Property Graphs. For more information on chunks and >>>> rules see: >>>> >>>> https://www.w3.org/Data/demos/chunks/chunks.html >>>> https://www.w3.org/Data/events/tpac2019/digital-transformation.pdf >>>> >>>> This may be the wrong list to ask for these, but in general, collecting >>>> challenges for researchers to gauge progress against would be really >>>> helpful for driving progress, and help to evaluate which approaches are >>>> more effective. >>>> >>>> I am interested in use cases and datasets suitable for use in work on, >>>> e.g. >>>> >>>> >>>> - Unsupervised learning of taxonomies and ontologies from noisy data >>>> - Reinforcement learning of skills in simulated environments >>>> - Causal reasoning, for planning actions or explaining faults >>>> >>>> >>>> Note that I am currently working on a demo featuring autonomous driving >>>> as a simulated environment that will allow me to explore how different >>>> cognitive tasks can coexist on the same rule engine and work together in a >>>> timely way. In principle, this could be extended to support reinforcement >>>> learning scenarios. >>>> >>>> Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett >>>> W3C Data Activity Lead & W3C champion for the Web of things >>>> >>>> >>>> >>>> >>> Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett >>> W3C Data Activity Lead & W3C champion for the Web of things >>> >>> >>> >>> >> Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett >> W3C Data Activity Lead & W3C champion for the Web of things >> >> >> >> > Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett > W3C Data Activity Lead & W3C champion for the Web of things > > > >
Received on Friday, 20 September 2019 07:32:57 UTC