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

doi:10.16183/j.cnki.jsjtu.2021.S1.019

Journal of Shanghai Jiao Tong University ›› 2021, Vol. 55 ›› Issue (Sup.1): 3-4.doi: 10.16183/j.cnki.jsjtu.2021.S1.019

Special Issue: 上海交通大学建校125周年科学问题专辑

• Artificial Intelligence • Previous Articles Next Articles

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

LI Shaoyuan,YIN Xiang

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

Received:2021-02-04 Online:2021-03-28 Published:2021-04-09

Abstract

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.

Key words: artificial intelligence, game, learning

CLC Number:

TP 18

LI Shaoyuan, YIN Xiang. Do Agent Self-Game and Learning Have Limitation of Performance?[J]. Journal of Shanghai Jiao Tong University, 2021, 55(Sup.1): 3-4.

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

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