Experience, Imitation and Reflection; Confucius' Conjecture and Machine
  Learning
  Artificial intelligence recently had a great advancements caused by the
emergence of new processing power and machine learning methods. Having said
that, the learning capability of artificial intelligence is still at its
infancy comparing to the learning capability of human and many animals. Many of
the current artificial intelligence applications can only operate in a very
orchestrated, specific environments with an extensive training set that exactly
describes the conditions that will occur during execution time. Having that in
mind, and considering the several existing machine learning methods this
question rises that 'What are some of the best ways for a machine to learn?'
Regarding the learning methods of human, Confucius' point of view is that they
are by experience, imitation and reflection. This paper tries to explore and
discuss regarding these three ways of learning and their implementations in
machines by having a look at how they happen in minds.
