Jeff Hawkins is one of those rare individuals who speaks the languages of both AI and neuroscience. In his recent book, "A Thousand Brains: A New Theory of Intelligence", Hawkins proposes that current learning algorithms lack four attributes which will be necessary for true machine intelligence. Here we demonstrate that a minimal learning system which satisfies all four points can be constructed using only simple, classical machine learning techniques. We illustrate that such a system falls short of biological intelligence in some important ways. We suggest that Hawkins’ list is a useful model, but the “recipe” for true intelligence—if there is one—may not be so easily defined.

杰夫·霍金斯是少数同时掌握人工智能和神经科学语言的人之一。霍金斯在他的新书《一千个大脑：智能的新理论》中提出，当前的学习算法缺乏真正的机器智能所必需的四个属性。在这里，我们证明了仅使用简单的经典机器学习技术就可以构建满足所有四点的最小学习系统。我们证明这样的系统在某些重要方面缺乏生物智能。我们认为霍金斯的列表是一个有用的模型，但真正情报的“秘诀”（如果有的话）可能并不那么容易定义。