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Why does artificial intelligence generally adopt the Bayesian interpretation?

  • A.Frequentist statistics cannot handle large data sets
  • B.Bayesian probabilities are easier to compute in practice
  • C.The frequentist interpretation forbids the use of priors
  • D.Agents must assign probabilities to unique unrepeatable events

Answer: D

An agent must have a degree of belief about this particular patient or this particular route, and no sequence of identical trials exists, so belief rather than frequency is the needed notion. Data volume and computational ease are not the argument, and priors are the distinguishing device rather than a prohibition. Choosing an interpretation because the application requires the questions it can answer, rather than on philosophical grounds, is the pragmatic position.

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