Re: weekend's reader

I agree that consciousness as the hard problem still eludes us, hence the bet won by David Chalmers with Christof Koch, but so does the mind body, or mind brain dualism still elude us.
Since we are in the business of trying to work out some guidelines, deliverables for KR for AI we cannot escape philosophy, neuroscience and even psychology.
Now to get back to my staple and favorite subject, all of these disciplines in some way or the other are applying category theory where the objects themselves are less important.
Knowledge and its representation are the final steps in well defined processes originating either with observation (empirical science), reasoning and reflection (philosophy), theoretical science (logic and mathematics based) or other modes of structured thinking. I am omitting for now the processes in the brain.
Like with mathematical formalization we may have to content ourselves with the fact that Godel and others have pointed out that we cannot have a formal system or even overarching theory that is consistent and complete.
And in my humble opinion we may reach the same conclusion for knowledge based on among other things quantum physics and the incompleteness of our sensory perception and everything following from this.
Thus the domain for which we can comfortably work out KR for AI may well be much smaller than we hoped for. 



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 Sunday, July 23, 2023 at 12:57:33 AM AST, Paola Di Maio <paoladimaio10@gmail.com> wrote:  
 
 Milton, thanks for reply in the quest for truth, we embrace everythingand must accept paradoxes, however mind breaking that can be.To some functional extent, we separate philosophy from technology and science, but as we dig deeper into the latter, we always come to face deeper philosophical questions.  Everything that we think or say happens to fall under some paradigm or other.  Attempting to find answers to deeper questions inevitable takes us into tangents. 
There is a point when we start seeing all reality as one, that is a critical point, Because our own ability to discriminate comes into questions.  Quantum science pushes classical science into that direction.Buddhism is based on paradigm of thought that can help to come to terms qith quantum phenomena, this is why perhaps, many scientists are embracing buddhism.  But there is also a time when we must completely abandon efforts to conceptualize, because reality as a whole is well beyond the ordinary ability to conceptualize.  

 I think there is still a place for knowledge representation in attempting to grasp reality as a whole, as long as we can cope with the challenges and acknowledge limitations :-)
KR can definitely help to figure out the complexity of quantum science and computing As for understanding ultimate truth, I am not sure :-)




On Sat, Jul 22, 2023 at 4:35 PM ProjectParadigm-ICT-Program <metadataportals@yahoo.com> wrote:

Good point. But you may also then want to investigate quantum walks. And there are even papers lightly touching upon the links between quantum physics and Buddhist Madhyamaka philosophy.Why do I bring this up? Because in the knowledge representation for quantum computing and ontologies these will inevitably pop up.


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 Saturday, July 22, 2023 at 01:32:05 AM AST, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
 
  QKR

Greetings, good peoples Interesting article for discussion below, not without limitation, but still pointing to work to be done and a good  mid summer weekend read

An Analysis of Ontological Entities to Represent
Knowledge on Quantum Computing Algorithms
and ImplementationsAbstract. The field of quantum computing is developing rapidly. As a
result, a variety of quantum hardware, software development kits, and
quantum algorithms have been developed in recent years. However, knowl-
edge about these artifacts is either not available or spread among different
sources. Thus, to analyze, compare, and evaluate knowledge on quantum
computing an integrated knowledge base is required. In this paper, we
introduce key concepts of an ontology for quantum algorithms and their
implementations. The presented ontology serves as basis for a collabora-
tive platform for researchers and practitioners to support collection and
development of knowledge on the field of quantum computing.
Keywords: Ontology, Taxonomy, Quantum Computing, Quantum Algorithmhttps://ceur-ws.org/Vol-2836/qurator2021_paper_15.pdf