Artificial Intelligence

Do Agent Self-Game and Learning Have Limitation of Performance?

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  • School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received date: 2021-02-04

  Online published: 2021-04-09

Abstract

Self-game is one of the most fundamental ways for intelligence emergence. A basic idea of the agent self-game and learning was introduced, and the latest research progress in this direction was expounded. In addition, a key question that whether agent self-game and learning have limitation was proposed. However, it is pointed out that cybernetic and the information theory should be combined to investigate the emergence of intelligence from information and computation perspectives.

Cite this article

LI Shaoyuan, YIN Xiang . Do Agent Self-Game and Learning Have Limitation of Performance?[J]. Journal of Shanghai Jiaotong University, 2021 , 55(Sup.1) : 3 -4 . DOI: 10.16183/j.cnki.jsjtu.2021.S1.019

References

[1]SILVERL D, SCHRITTWIESERL J, SIMONYANL K, et al. Mastering the game of Go without human knowledge[J]. Nature, 2017, 550: 354-359.
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