重解图灵1948年棋类模仿游戏，揭示其如何让人类逼近机器智能
Turing's Frist Imitation Game: Design Concepts and a Human-Approximates-Machine Reading
- 以棋类游戏为框架，强调机器会犯错、去除物理干扰、由人判断
- 让人类选手水平较低时，更凸显智力搜索过程，使行为趋近机器
- 适用于研究人类在特定任务下何时变得像机器，适合认知科学读者
本文重新审视图灵1948年报告《智能机械》，将其视为后来模仿游戏的重要概念源头。首次贡献是识别并整合了1948年基于国际象棋的模仿游戏的设计理念：智能机器可能出错、排除无关物理特征、人类裁判的角色，以及图灵认为智力活动主要由搜索构成的观点。第二次贡献是论证将人类参赛者限制为较弱的棋手，能强化智力搜索的作用，使人类行为更接近机器行为。这一解读将1948年游戏视为‘人类逼近机器’的实验，表明模仿游戏框架不仅可用于检验机器是否模仿人类，也可用于考察在特定任务约束下人类智能如何变得机器化。
原文摘要 · Abstract (English)
This paper examines Turing's 1948 report, "Intelligent Machinery", as an important conceptual source for the later imitation games. Its first contribution is to identify and integrate the design concepts underlying the 1948 chess-based imitation game: the possibility that intelligent machines may make mistakes, the exclusion of irrelevant physical features, the role of the human judge, and Turing's claim that intellectual activity consists mainly of search. The paper's second contribution is to argue that restricting the human contestant to a rather poor chess player increases the role of intellectual search and makes human behaviour more comparable to machine behaviour. This interpretation presents the 1948 game as a human-approximates-machine game and suggests that the imitation game framework can be used not only to ask whether machines imitate humans, but also to examine when human intelligence becomes machine-like under specific task constraints.
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