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

Carl,
Both Ranganathan's Prolegomena (Library Classification) canons /  basic rules for classification schemes and the V1AI KRID Core Ontology are very useful indeed. But it is a a higher level that the category theory comes into play.
Have you seen any such use in e.g. federal recommendations for use of field or (FHIR) Point of Care data for COVID-19?
I found some CDC guidelines for inputting data from points of care or health care systems.



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 Wednesday, June 3, 2020, 5:14:01 PM ADT, carl mattocks <carlmattocks@gmail.com> wrote:  
 
 Milton
For perusal   V1 AI KRID Core Ontology
Carl MattocksAIKRCG co-chair

It was a pleasure toclarify


On Wed, May 27, 2020 at 11:53 AM carl mattocks <carlmattocks@gmail.com> wrote:

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  
cheerscarl
It was a pleasure toclarify


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
thanksCarl
It was a pleasure toclarify


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

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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...
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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?
cheersCarl

It was a pleasure toclarify


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