Re: Update on work on chunk based cognitive agents

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
>
>
>
>