论文标题
递归，进化和有意识的自我
Recursion, evolution and conscious self
论文作者
论文摘要
我们介绍和研究一种大致自动的学习理论，也就是说，它不需要最小的初始编程，并且基于自我参考的潜在计算现象（即算法具有将其程序作为输入的潜在能力）。 这些结论与生物学和神经科学中的科学发现一致，并提供了有关进化以及人类大脑的功能和学习能力的众多解释（与达尔文主义一起）（最重要的是），正如我们在我们自己中所感知的那样。
We introduce and study a learning theory which is roughly automatic, that is, it does not require but a minimum of initial programming, and is based on the potential computational phenomenon of self-reference, (i.e. the potential ability of an algorithm to have its program as an input). The conclusions agree with scientific findings in both biology and neuroscience and provide a plethora of explanations both (in conjunction with Darwinism) about evolution, as well as for the functionality and learning capabilities of human brain, (most importantly), as we perceive them in ourselves.
