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Model-based reasoning

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In artificial intelligence, model-based reasoning refers to an inference method used in expert systems based on a model of the physical world.

Knowledge represenation

In a model-based reasoning system knowledge is repesented unsing causal rules. For example, in a mediacal diagnosis system the knowledge base may contain the following rule:

∀ patients : Stroke(patient) → Confused(patient) &land; Unequal(Pupils(patient))

In contrast in a diagnostic reasoning system knowledge would be represented through diagnostic rules such as:

∀ patients : Confused(patient) → Stroke(patient)
∀ patients : Unequal(Pupils(patient)) → Stroke(patient)
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