Re: Knowledge representation and Disease Control frameworks using AI, KRIDs

Milton:

Regarding 'KRID can be defined in unique Categories'

I believe our experiments should leverage Ranganathan's Prolegomena
(Library Classification) canons /  basic rules for classification schemes
https://www.miskatonic.org/library/prolegomena.html

cheers
carl

It was a pleasure to clarify


On Tue, May 26, 2020 at 8:20 AM carl mattocks <carlmattocks@gmail.com>
wrote:

> Milton
>
> Thanks for affirming :
> So in a strict sense of formalized representation for protocols you could
> say that declarative and imperative (procedural)  knowledge would cover
> protocols.
>
> To help us consider how best to approach the use-case - please share the
> section of the diagram focused on PROTOCOL
>
> thanks
> Carl
> It was a pleasure to clarify
>
>
> On Tue, May 26, 2020 at 1:08 AM ProjectParadigm-ICT-Program <
> metadataportals@yahoo.com> wrote:
>
>> Carl,
>>
>> I took the liberty of checking the types of knowledge in philosophy, and
>> found a very useful page that covers 14 types of knowledge.
>>
>> See:
>> 14 Types of Knowledge (Updated 2020) | Helpful Professor
>> <https://helpfulprofessor.com/types-of-knowledge/>
>>
>> 14 Types of Knowledge (Updated 2020) | Helpful Professor
>>
>> Knowledge is "stored facts". All humans are capable of the storage of
>> facts or information for retrieval at a la...
>> <https://helpfulprofessor.com/types-of-knowledge/>
>> It will take (3) dispersed knowledge, (4) domain or expert knowledge, (5)
>> empirical knowledge, (6) encoded knowledge, (10) imperative knowledge and
>> (11) descriptive knowledge to cover all processes in the three generalized
>> types of processes.
>>
>> Types (3) and (5) lead to (4) which leads to (6) and (11).
>>
>> So in a strict sense of formalized representation for protocols you could
>> say that declarative and imperative (procedural)  knowledge would cover
>> protocols.
>>
>> but the framework also covers processes that do not involve protocols.
>>
>> I am working on a diagram to make this explicit for the entirety of the
>> disease control framework.
>>
>> regards
>>
>> Milton Ponson
>> GSM: +297 747 8280
>> PO Box 1154, Oranjestad
>> Aruba, Dutch Caribbean
>> Project Paradigm: Bringing the ICT tools for sustainable development to
>> all stakeholders worldwide through collaborative research on applied
>> mathematics, advanced modeling, software and standards development
>>
>>
>> On Monday, May 25, 2020, 7:49:28 PM ADT, carl mattocks <
>> carlmattocks@gmail.com> wrote:
>>
>>
>> Milton
>>
>> Thanks for sharing the insights gained from your ambitious plan - and the
>> use-case 'for StratML utilized in AI, the KRID can be defined in unique
>> Categories'.
>> To help add more detail - do you consider that (all
>> rules/syntax/workflow/ etc) defined as  'Protocol' can be made explicit
>> with Declarative and/or Imperative Knowledge?
>>
>> cheers
>> Carl
>>
>>
>> It was a pleasure to clarify
>>
>>
>> On Mon, May 25, 2020 at 4:47 PM ProjectParadigm-ICT-Program <
>> metadataportals@yahoo.com> wrote:
>>
>> As I indicated earlier I have embarked on the rather ambitious plan of
>> writing an article, titled "A Smart City Framework for Disease Control
>> Utilizing Sensor, Tracing, Tracking, Wearable and Medical Technologies".
>>
>> There are a couple of important factors to take into account. First and
>> foremost real-time spatio-temporal modeling in a smart city setting, this
>> closely mirrors cellular structures found in wireless networking. Second,
>> there is the modeling of processes. This is done by defining all related
>> systems for disease control as a "set of systems of complex adaptive
>> systems". Now some of these are very similar yet in terms of data and
>> information required slightly variable. Then there is the inevitable
>> problem of reliability of data, and verification thereof. And finally how
>> to structure the data to allow manipulation thereof, and how to model all
>> of this mathematically.
>>
>> What is striking in all of this, is regardless of the complexity of this
>> set of systems of complex adaptive systems, three things stand out. (1) the
>> use of protocols which can be made explicit by flowchart diagram
>> algorithms, (2) protocols can be made explicit in a strategic planning
>> context and thus converted to (eGovernment) machine readable format, (3)
>> the exchange of data and information between the myriad of components in
>> the disease control system is driven by categories of protocols defined by
>> generalized chain-linked processes with specific required outcomes.
>>
>> As I also indicated in a prior post, the groundbreaking book published by
>> Oxford University Press, Introduction to the Theory of Complex Systems by
>> Stefan Thurner, Rudolf Hanel and Peter Klimek, "the kaleidoscope of complex
>> systems are best described by the rules that govern their interactions".
>>
>> The framework thus boils down to three generalized processes: (1)
>> Prevention, (2) Mitigation, (3) Creation of Viral Loss-of-funtion.
>>
>> Using category theory to generalize interaction rules, cellular
>> spatio-temporal modeling, equivalence of protocols, flowchart diagrams and
>> programs, and chain-linking protocols using strategic planning for desired
>> inputs and outcomes makes it possible to make sense of required data and
>> desired information outcomes necessary at each stage of a process chain
>> link.
>>
>> This makes a case for StratML utilized in AI, the KRID can be defined in
>> unique Categories.
>>
>> So what I am getting at is that we are able to uniquely define knowledge
>> representation NOT by the objects in play by the rules that govern their
>> interactions which specify desired outcomes, be it in simple systems or in
>> complex adaptive systems context
>>
>> And for this category theory is indispensable.
>>
>> Thus our efforts in AIKR StratML strategies are very worthwhile pursuing.
>>
>> regards
>>
>> Milton Ponson
>> GSM: +297 747 8280
>> PO Box 1154, Oranjestad
>> Aruba, Dutch Caribbean
>> Project Paradigm: Bringing the ICT tools for sustainable development to
>> all stakeholders worldwide through collaborative research on applied
>> mathematics, advanced modeling, software and standards development
>>
>>