Model-based reasoning

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

Knowledge representation

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

$\forall$ patients : Stroke(patient) $\rightarrow$ Confused(patient) $\land$ Unequal(Pupils(patient))

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

$\forall$ patients : Confused(patient) $\rightarrow$ Stroke(patient)

$\forall$ patients : Unequal(Pupils(patient)) $\rightarrow$ Stroke(patient)

References

• Russell, Stuart J.; Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, New Jersey: Prentice Hall, p. 260, ISBN 0-13-790395-2

See also

• Diagnosis

External links

• Model-based reasoning at Utrecht University
• NASA Model-based Diagnosis and Recovery Group