社论:实现人工通用智能的自编程方法和假设

K. Thórisson, Eric Nivel, R. Sanz, Pei Wang
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引用次数: 7

摘要

直观地说,“自我编程”意味着计算机系统为自己的行为编程的能力。这个概念显然与人工智能有关,并已被许多研究人员使用。然而,像许多其他高级概念一样,仔细研究表明,这个术语可以用几种不同的方式来解释。为了使讨论具体化和有意义,我们在这里引入自编程的一个工作定义。在这个定义中,我们增加了它的具体性,同时又尽量保持概念的直观意义。计算机系统的活动通常被认为是由原子动作组成的(在不同的上下文中也可以称为指令、操作、行为或其他东西)。在任何给定时刻,系统的基本动作都在一个有限且恒定的集合a中,这意味着它们彼此不同,并且可以枚举。操作可以接受一些输入参数,并产生一些输出参数。系统可以执行它的每一个动作,
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Editorial: Approaches and Assumptions of Self-Programming in Achieving Artificial General Intelligence
Intuitively speaking, “self-programming” means the ability for a computer system to program its own actions. This notion is clearly related to Artificial Intelligence, and has been used by many researchers. Like many other high-level concepts, however, scrutiny shows that the term can be interpreted in several different ways. To make the discussion concrete and meaningful we introduce here a working definition of self-programming. In this definition we increase its concreteness while trying to keep the intuitive meaning of the concept. The activities of a computer system usually are considered to consist of atomic actions (which can also be called instructions, operations, behavior, or something else in different contexts). At any given moment the system’s primitive actions are in a finite and constant set A, meaning that they are distinct from each other, and can be enumerated. An action may take some input arguments, and produce some output arguments. The system can execute each of its actions,
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