anomaly-driven-abduction

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Tactic: Inductive/abductive path — describe anomalous phenomena, generate candidate explanations, rank by plausibility

AI & Automation 331 stars 25 forks Updated today Apache-2.0

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# Anomaly Driven Abduction Inductive/abductive path — precisely describe anomalous phenomena that existing theory cannot explain, generate multiple candidate explanations, rank by plausibility, and provide a structured basis for abductive hypotheses. ## Orchestration Intent The starting point of abduction is "surprise" — an observed phenomenon inconsistent with existing theoretical predictions. This tactic forces CC to first precisely describe the anomaly (no vagueness allowed), then systematically generate explanations (not allowed to think of only one), and finally rank by plausibility (no subjective preference allowed). None of the three steps can be omitted: imprecise description means explanations cannot be focused; insufficient explanations make ranking meaningless; ranking without basis turns hypothesis selection into guesswork. ## Available SOPs | SOP | Responsibility | When to call | |-----|------|---------| | anomaly-characterization | Precisely describe the anomalous phenomenon: what was observed, deviation from expectation, conditions of occurrence, excluded trivial explanations | Required in all modes, execute first | | explanation-generation | Generate multiple candidate explanations (abductive hypotheses); each explanation must fully account for the anomaly | Required in all modes, after anomaly-characterization | | plausibility-ranking | Rank candidate explanations by plausibility criteria (prior probability, explanatory power, parsimony, testability) | ...

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Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
4 months ago
Last Updated
today
Language
HTML
License
Apache-2.0

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