搜索 Simon learning method ，找到 Herbert A. Simon 而且他也获得过诺贝尔经济学奖，看起来很符合。但是 WikiPedia 上并没有很相关的关于「西蒙学习法」的描述，百科上所谓「估记每一门学问所包含的信息量大约是 5 万块」大概来源于人工智能领域的一个引用：
He said that to become an expert on a topic required about ten years of experience and he and colleagues estimated that expertise was the result of learning roughly 50,000 chunks of information. A chess expert was said to have learned about 50,000 chunks or chess position patterns.
- Chase and Simon. "Perception in Chess". Cognitive Psychology Volume 4, 1973
而在心理学领域的引用则简单提到一个通过计算机程序实现的学习理论 EPAM ：
Simon was interested in how humans learn and, with Edward Feigenbaum, he developed the EPAM (Elementary Perceiver and Memorizer) theory, one of the first theories of learning to be implemented as a computer program. EPAM was able to explain a large number of phenomena in the field of verbal learning. Later versions of the model were applied to concept formation and the acquisition of expertise. With Fernand Gobet, he has expanded the EPAM theory into the CHREST computational model. The theory explains how simple chunks of information form the building blocks of schemata, which are more complex structures. CHREST has been used predominantly, to simulate aspects of chess expertise.
- Feigenbaum, E. A.; Simon, H. A. (1984). "EPAM-like models of recognition and learning". Cognitive Science. 8 (4): 305–336. doi:10.1016/s0364-0213(84)80005-1.
- Gobet, F.; Simon, H. A. (2000). "Five seconds or sixty? Presentation time in expert memory". Cognitive Science. 24 (4): 651–682. doi:10.1016/s0364-0213(00)00031-8.
另外还搜了下文献，出来一篇 A comparison of game theory and learning theory 我严重怀疑人家最初只是想搞机器学习，后来 learning 这个词被曲解并拓展成了人类学习方法（逃