Black Box Approach

Black box knowledge representation may be defined as the inability of rules to examine other rules. Architectures with this property are limited in their direct inferencing ability to see what other rules are up to. There are advantages to this:

  1. rule bases might be less fragile to changes
  2. rule bases might be more modular and easier to understand.
Black-box knowledge representation does not rule out meta-reasoning, but it would make it more circuituitous. Rules would have to observe each others effects and infer conditions.

Architectures having this agent property include:
Go to the List of Common Agent Properties.

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