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Everything about Model-based reasoning

Inference method used in AI expert systems

In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world. With this approach, the main focus of application development is developing the model. Then at run time, an "engine" combines this model knowledge with observed data to derive conclusions such as a diagnosis or a prediction. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Model-based reasoningA 5-minute orientation
  2. Skim a recent paper: Large language model-based evolutionary optimizer: Reasoning with elitismInfluential work since 2022
  3. Pick up a classic book: Model-based reasoning in science and technologyThe most-reprinted book on the subject
  4. Read the landmark paper: R5 model for case-based reasoningCited 116 times
  5. Go sideways: Diagnosis (artificial intelligence)A closely related topic
  6. Go sideways: Knowledge-based systemA closely related topic

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