Explicit
Concepts, relationships, rules, and assumptions are visible rather than buried in prose or prompts.
Active Knowledge Modelling
The practice of creating connected, evolvable models that remain usable as context for exploration, decisions, applications, AI, and work.
Active, not static
Concepts, relationships, rules, and assumptions are visible rather than buried in prose or prompts.
The model changes as evidence, decisions, and domain understanding develop.
Structure becomes context for decisions, applications, AI collaboration, and performed work.
Humans can examine what the model says, where it came from, and whether it remains valid.
The operating loop
Capture the domain in language people recognize.
Make concepts, relationships, and rules explicit.
Ground analysis, planning, AI, and execution in the model.
Feed evidence and results back into the World.
Learn through video
Continue with practical explanations of modelling ideas, methods, and notation on Snorre's Model Bureau.
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Modelling concepts explained by Snorre Fossland.