- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Thu, 19 Sep 2019 11:11:08 +0800
- To: Dave Raggett <dsr@w3.org>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SrfRM9syznrccFwyz+_W7Zvub+YP1JBz-UFLx=pr7=eCw@mail.gmail.com>
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> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> 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 > > > >
Received on Thursday, 19 September 2019 03:12:09 UTC