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What does a goal based agent need in addition to a model?

  • A.A utility function ranking every possible outcome numerically
  • B.A learning element that improves its behaviour with experience
  • C.A set of condition action rules covering every percept it may receive
  • D.A description of the desired situation and a way to search for it

Answer: D

Given a model and a goal, the agent searches or plans over sequences of actions to find one reaching the goal, which makes it flexible when the goal is changed. A utility function is the next step up and handles conflicting or graded objectives. Learning and reflex rules belong to other architectures. Separating the objective from the world knowledge, so that either can be changed without the other, is the structural advance this architecture makes.

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