Re: Ontic categories, vocab in the top bubble

Again I must challenge that nothing sits above knowledge representation for
AI,  because knowledge can be represented mathematically before it is
represented for computational purposes, i.e. in KR for AI as defined in the
AIKR CG.
In defining KR for AI you unknowingly are equating knowledge representation
with information representation. All the concepts and conceptual layers are
information based.
This invisible jump is from the descriptive set theoretic level to the
representable set theoretic level and in this jump causality,  the axiom of
choice and representability are assumed.

Milton Ponson
Rainbow Warriors Core Foundation
CIAMSD Institute-ICT4D Program
+2977459312
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean

On Fri, Nov 28, 2025, 22:24 陳信屹 <tyson@slashlife.ai> wrote:

> Hi
>
> For my agentic-execution interface specification, the relevant layer sits
> above KR and below agent behavior: this is a Semantic Execution Layer,
> where ontic categories become executable, auditable constraints for agents.
>
> My engineering model is:
>
> Ontology → Semantic Execution Layer → Agent Runtime → OS → TCP/IP or UDP →
> Hardware Devices/Network protocol 。
>
> In this architecture, ontology functions as institutional structure, while
> the execution layer determines how those structures are enacted by agents.
>
> The Semantic Execution Layer is the architectural stratum that transforms
> ontic or institutional structures into executable, auditable behavioral
> constraints for agents.
>
> It operates above knowledge-representation formalisms and below agent
> runtime systems, serving as the mechanism through which semantic
> categories, roles, capabilities, and commitments are enacted as operational
> rules within an agentic computing environment.
> Thx
>
> Paola Di Maio <paola.dimaio@gmail.com>於 2025年11月28日 週五，下午6:49寫道：
>
>> Thinking of where would Tyson's agentic execution interface specification
>> would sit in the diagram, *presumably in the  KR Language/Formalism bubble?
>> I have extracted  captured in a table and a list of terms most ontic
>> categories, which is going to be our first deliverable,
>> please give feedback, help to improve/expand.
>>
>> Please request access to view
>>
>> https://docs.google.com/document/d/1OyZGVDCMozbAGPaKqYpUnWX75raGoCNpd6KJN3bMoFQ/edit?usp=sharing
>>
>> [image: AI KR VOCABS NOV 2025 upper ont.jpg]
>>
>>
>>
>> Please request access if you would like to give feedback
>>
>