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dynamic ontology

4 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Sep 5, 2026 · Backend Development

Why Dynamic Ontologies Need Four Separate Governance Paths, Not One Auto-Update Button

The article argues that dynamic ontologies must route four distinct change types — terminology mapping, model evolution, runtime state, and agent negotiation — through separate governance paths with dedicated verification, release, and failure handling, rather than funneling all changes through a single auto-update mechanism, to preserve stable baselines, action contracts, and audit trails.

Semantic Layeragent negotiationchange routing
0 likes · 16 min read
Why Dynamic Ontologies Need Four Separate Governance Paths, Not One Auto-Update Button
Data Bricklaying Diary
Data Bricklaying Diary
Sep 4, 2026 · Artificial Intelligence

Dynamic Ontology: Four Change Types That Must Not Share One Auto-Update Mechanism

The article distinguishes four distinct dynamics in ontology systems — terminology mapping, model evolution, runtime state, and agent negotiation — each with separate lifecycles, authorities, and validation requirements, warning against conflating them into a single auto-update mechanism.

agent negotiationdynamic ontologyindustrial AI
0 likes · 18 min read
Dynamic Ontology: Four Change Types That Must Not Share One Auto-Update Mechanism
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Aug 15, 2026 · Artificial Intelligence

Dynamic Ontology v2: Adaptive Threat Assessment with Monte‑Carlo Skills

The second iteration of the dynamic ontology replaces raw data handling with an ENU‑based Monte‑Carlo trajectory prediction, introduces progressive‑loading Skills for function implementation, defines three independent growth paths (memory, Skills, ontology), and reorganizes the visual toolbar into a five‑layer model to improve threat assessment and explainability.

Monte CarloOpenClawairspace analysis
0 likes · 16 min read
Dynamic Ontology v2: Adaptive Threat Assessment with Monte‑Carlo Skills
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Jun 17, 2026 · Artificial Intelligence

Don’t Mix Prediction, Reasoning, Inference, and Decision in the Ontology Era

The article explains how prediction, reasoning, and inference differ, why a pure prediction model leaves the decision chain broken, and how a dynamic ontology‑driven feature framework—temporal, functional, and relational features—creates explainable, verifiable, and iterative decision loops.

decision-makingdynamic ontologyfeature engineering
0 likes · 9 min read
Don’t Mix Prediction, Reasoning, Inference, and Decision in the Ontology Era