Re: Update on work on chunk based cognitive agents

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.
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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
>>
>>
>>
>>
> Dave Raggett <dsr@w3.org> http://www.w3.org/People/Raggett
> W3C Data Activity Lead & W3C champion for the Web of things
>
>
>
>