对经济复杂性系统研究文献中常见的主体学习算法进行了一个全面的梳理。
This paper gives a comprehensive overview about agent learning algorithms used in economic complexity system research.
他的成果大多集中在经济主体在模型限制下学习和不完全理性预期这些方面。
Much of his work has focused on agents learning within models and less-than-fully-rational expectations.
如何使劳动者充分享有学习的主体地位是本文讨论的重点所在。
The present article discussed their principal part in the true sense learning.
应用推荐