Machine-translated by Google. Questions are authored in English.
Top

Discussion

What does the sensor model describe?

  • A.Which sensors the agent should attend to at each moment
  • B.The probability of a percept given the underlying state
  • C.The physical construction and accuracy of each sensor
  • D.How the state evolves between successive observations

Answer: B

The sensor or observation model gives the likelihood of seeing a particular percept if the world is in a particular state, which is exactly what Bayes' rule needs to convert an observation into a belief update. Physical specification informs it but is not it, evolution is the transition model, and attention is a separate control problem. Writing the model as a conditional probability in the right direction is the step that most often goes wrong when it is first attempted.

No comment is present. Be the first to comment.
Loading…

Post your comment

Please log in or register to post a comment.