Re: another weekend reader - knowledge representation for metacognition

This looks and sounds very familiar. But is still lacks several components and some very troubling issues about modeling reality and knowledge representation.
See:https://youtu.be/ZCeOsdcQObI

and:
https://theconversation.com/a-new-quantum-paradox-throws-the-foundations-of-observed-reality-into-question-144426

Any agent, algorithm, AI, human or autonomous system that make assessments about an observed reality, whether physical reality, an abstraction, model or restricted domain of discourse will be impacted by several factors: (1) axiom of choice/freedom of choice, (2) quantum/information theory uncertainty principles, (3) quantum non-locality effects, (4) Godel's Incompleteness theorems/Turings theorems about halting/undecidability, (5) entanglement issues in the observation.

Knowledge representation is whether you like it or not about representation of  observed events, or data relating to a domain of discourse which we want to model and formally represent to be able to perform actions.

The paper at hand ignores, like the vast majority of AI researchers, issues that cannot conveniently be ignored or worse eliminated/discarded by re-normalization procedures.
Reality is as Buddhist theories succinctly put it, an illusion and through the process of observation and the use of sensory perception, and we are fooled to believe that what we formally describe is actually "what is".
AI KR to be truly functional cannot ignore all the weirdness factors described above, at the risk of built-in levels of bias, or worse inconsistency.


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    On Sunday, October 25, 2020, 12:49:45 AM ADT, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
 
 Can't believe time goes so quickly- , another weekend read already? (havent finished reading last week's stuff)
Arent we all trying to meet deadlines and make a living and change the world during workdaysI am sending reading suggestions as an alternative to the Sunday Papers :-)
Another important trend in KR is the need to model  and represent metacognition (work to be done, here?)we call the background processes, and very important 

interesting paper to stimulate our collective synapses
Structural Analysis of Factual, Conceptual, Procedural, and Metacognitive Knowledge in a Multidimensional Knowledge Network
https://www.hindawi.com/journals/complexity/2020/9407162/

implications for AI KR?  discuss.....


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