Learning from experience

Learning from experience
Looking into existing approaches will give you a feel for the entire field, via the numerous success-stories and miserable failures. This provides you with valuable knowledge in order to avoid duplicating similar mistakes.

learning from experience Programs do that. The approaches to AI based on connectionism and neural nets specialize in that. There is also learning of laws expressed in logic. [Mit97] is a comprehensive undergraduate text on machine learning.

a) learning from experience,
b) perceptual discrimination of inarticulable features,
c) development of a hierarchy of categories or framework of concepts,
d) spontaneous inductive inference in accordance with past experience ("vector completion").
e) ...

Yet other researchers want to simplify programming; why can't we build, once and for all, machines that grow and improve themselves by learning from experience?

The network, in other words, acquires knowledge in much the same way human brains acquire namely learning from experience. Backpropagation is one of the powerful artificial neural network technique which is used acquire knowledge automatically.

like checkers, chess, bridge, and Go are difficult enough that it takes years for gifted adults to master them. Nearly all games require seeing patterns, making plans, searching combinations, judging alternative moves, and learning from experience, ...

See also: Artificial intelligence, Knowledge, AI, Complexity, Machine learning