KROG holds itself out to be a universal framework for rules and authorization and describes itself, "KROG is a universal mathematical framework that brings clarity, transparency, and determinism to any rule-based system. Whether you're building AI authorization, smart contracts, business workflows, or governance protocols, KROG provides a rigorous foundation based on deontic modal logic."
KROG is built on four pillars: Knowledge, Rights, Obligations, Governance.
The Seattle Method, also a framework, has this notion of a virtuous cycle. That virtuous cycle has four steps: Define, Create, Verify, Extract.
What seems to be going on is that KROG and the Seattle Method are looking at the same situation from different perspectives. What KROG and the Seattle Method both seem to seek is that virtuous cycle; that feedback loop. Both KROG and the Seattle Method agree that
governance is key to achieving that virtuous cycle. Both KROG and the Seattle Method seem to be about minimizing
epistemic risk.
Knowledge is what the participants or stakeholders within an
area of knowledge agree to be true. There should be
clarity as to this knowledge. KROG states, "All rules, states, and relationships must be knowable and queryable by authorized participants. No hidden rules, no surprises. If it affects you, you can see it." Hard to disagree with that.
Rights is about permissions; what actions are permitted; clear boundaries that specify behavior. Agree with that; I call these "guardrails" or "bumpers".
Obligations your duties; what actions are required and relate to deadlines, compliance requirements, mandatory disclosures. Seems like both rights and obligations are specified using
business rules. And it seems to me that rights and obligations are all part of the knowledge.
Governance is how epistemic risk is managed. That is about participants (a.k.a. stakeholders) working together to create the feedback loop that results in the virtuous cycle.
The Seattle Method focuses on achieving all of the above for
accounting, reporting, auditing, and analysis. KROG appears to be a meta-language that can work across different areas of knowledge which allows for cross domain reasoning. Further, KROG provides
first order logic,
temporal logic,
modal logic, and
deontic logic. That is far beyond my personal imagination; currently the Seattle Method is focused on first order logic, basically DATALOG. So basically, KROG is indicating that I can go even further in terms of processing capabilities. Excellent!
I don't know if KROG is a global open industry standard; seems not but I really do not know. KROG is obviously semantic oriented. KROG is obviously trying to empower artificial intelligence, both rules-based and probability-based. Don't know anything about KROG's technical stack.
Additional Information:
Comments
Post a Comment