理论机器人心理学：萨穆学会了图灵机
Theoretical Robopsychology: Samu Has Learned Turing Machines
摘要：
从程序员的角度来看，机器人心理学是开发人员为实现其机器学习应用程序而进行的活动的同义词。这种机器人心理学方法提出了机器学习的一些基本理论问题。我们对这些问题的讨论仅限于图灵机。阿兰·图灵给出了一个算法（又名图灵机）来描述算法。如果它被用来描述它自己，那么这就把我们带到了图灵的通用机器的概念。在本论文中，我们研究的算法写算法。从教育学的角度来看，这种编写程序的方式可以被认为是通过听和做来学习的结合，因为它是基于应用代理技术和机器学习。作为主要结果，我们介绍了学习问题，然后我们表明，它不能很容易地在现实中处理，因此，它是合理的使用机器学习算法学习图灵机。
英文摘要：
From the point of view of a programmer, the robopsychology is a synonym for the activity is done by developers to implement their machine learning applications. This robopsychological approach raises some fundamental theoretical questions of machine learning. Our discussion of these questions is constrained to Turing machines. Alan Turing had given an algorithm (aka the Turing Machine) to describe algorithms. If it has been applied to describe itself then this brings us to Turing's notion of the universal machine. In the present paper, we investigate algorithms to write algorithms. From a pedagogy point of view, this way of writing programs can be considered as a combination of learning by listening and learning by doing due to it is based on applying agent technology and machine learning. As the main result we introduce the problem of learning and then we show that it cannot easily be handled in reality therefore it is reasonable to use machine learning algorithm for learning Turing machines.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
