Your Knowledge, Your Model — Part 3: Determinism Is Not Accuracy

Two agents. Same knowledge base. Same question. Different answers. Both answers are internally consistent. Both are traceable to real sources. Neither agent made anything up. And yet they disagree. This is not a hallucination problem. It's not an agent quality problem. It's a determinism problem — and it's the one nobody talks about. What determinism means in a knowledge system Most people ask two things of their knowledge system: Is the information there? (completeness) Is it correct? (accuracy) This method adds a third requirement that almost nobody names explicitly: Any agent, reading your sources in any order, must arrive at the same model of the system. This is not the same as accuracy. Data can be accurate in every individual file and still produce different models depending on reading order. The failure modes are subtle: A connection is described from side A but not from side B The same concept has two different names in two different places One file says "may", another says "al