Context sequence theory: a common explanation for multiple types of learning

Mingcan, Yu, Junying, Wang

arXiv.org Artificial Intelligence 

Some of these models referred to the principles of brain science including reinforcement learning, visual perception and attention. However, there is still an enormous gap between machine learning models and human learning or mammalian learning. For example, a large number of training samples are not always necessary for mammalian learning in many conditions. And mammalian brain has a strong flexibility and plasticity to support the outstanding transfer learning. Multiple types of learning Over two thousand years ago, Confucius, the Chinese philosopher, proposed many laws of learning such as "It's important for learning to practice from time to time" and "we can gain new insights through reviewing old material"

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