Re: Update on work on chunk based cognitive agents

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
>
>
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> 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
>
>
>
>