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.

Contents 1 Knowledge representation 2 References 3 See also 4 External links

[edit] Knowledge representation

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

patients : Stroke(patient) Confused(patient) 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)

[edit] References

• Russell, Stuart J. & Norvig, Peter (2003), Artificial Intelligence: A Modern Approach (2nd ed.), Upper Saddle River, NJ: Prentice Hall, pp. 260, ISBN 0-13-790395-2, <http://aima.cs.berkeley.edu/> 

[edit] See also

• Diagnosis

[edit] External links

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