说谎、电脑和自我意识

P. Castro
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引用次数: 0

摘要

从1976年约翰·莫里斯关于计算机是否会说谎的初步分析开始,我提出了我自己对这个问题的处理方法,这种方法可以被称为计算说谎程序。一个用两台图灵机。从这里开始,我论证了这样的程序不能单独在图灵机中实现。一个基本的困难出现了,关于机器应该拥有的关于它在说谎的事实的自我认知的计算表示。与莫里斯的说法相反,我认为计算机——就它们是图灵机而言——不会说谎。因此,我声称,不能严格地以模仿行为为基础,将道德能动性归因于机器人或任何其他自动化人工智能系统。自我意识作为道德归因的本体论基础必须被唤起。如果感知系统是唯一能够承认自己感知的智能体,这可能会给我们带来一个识别问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lying, computers and self-awareness
Abstract From the initial analysis of John Morris in 1976 about if computers can lie, I have presented my own treatment of the problem using what can be called a computational lying procedure. One that uses two Turing Machines. From there, I have argued that such a procedure cannot be implemented in a Turing Machine alone. A fundamental difficulty arises, concerning the computational representation of the self-knowledge a machine should have about the fact that it is lying. Contrary to Morris’ claim, I have thus suggested that computers – as far as they are Turing Machines – cannot lie. Consequently, I have claimed that moral agency attribution to a robot or any other automated AI system, cannot be made, strictly grounded on imitating behaviors. Self-awareness as an ontological grounding for moral attribution must be evoked. This can pose a recognition problem from our part, should the sentient system be the only agent capable of acknowledging its own sentience.
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