Social learning With Bayesian Agent and Random Decision Making
文章摘要中大体的概述： 研究对象： 在社交学习中随机性对决策的影响。 在寻址系统中，每一个智能体依次的做出抉择 依照现实 情况。每一个 个体都会依据两个对自然=仿照假设做出决策，它们的在相同的情况下，而且相互独立。每一个个体又清楚之前个体做出的决策。 Paper ：提出每一个个体向先前的个体学习，并通过使用贝叶斯理论更新个体的社会信念 主要做的事情： （１）定义了社会信念（ｓｏｃｉａｌ ｂｅ
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相关文章
- 1. Decision making
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- 9. #Paper reading#DeepInf: Social Influence Prediction with Deep Learning
- 10. 论文笔记之：Learning to Track: Online Multi-Object Tracking by Decision Making