Cultural transmission is the domain-general social skill that allows agents to acquire and use information from each other in real-time with high fidelity and recall. In humans, it is the inheritance process that powers cumulative cultural evolution, expanding our skills, tools and knowledge across generations. We provide a method for generating zero-shot, high recall cultural transmission in artificially intelligent agents. Our agents succeed at real-time cultural transmission from humans in novel contexts without using any pre-collected human data. We identify a surprisingly simple set of ingredients sufficient for generating cultural transmission and develop an evaluation methodology for rigorously assessing it. This paves the way for cultural evolution as an algorithm for developing artificial general intelligence.

该研究提供了一种为人工智能代理产生零样本、高召回文化传播的方法，并鉴别了一组简单的材料，以生成文化传播，并开发了一种严格评估文化传播的方法，为文化进化成为开发人工智能的算法铺平了道路。

学习在没有人类数据的情况下实现鲁棒的实时文化传播