The Mechanics of Thought 1

E. Hunt, S. Poltrock
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Abstract

This chapter introduces a way of thinking about very complex problem solving. A computing system is of little value to a user unless there is some way to issue commands to the machinery. In order to do this there must be a language in which the user can state what is to be done, and which can then be translated, by some automated process, into a sequence of elementary machine operations. Real-time computing systems often refer to data banks in order to determine how to handle a current request for services. The organization and modification of long-term memory is clearly a central topic in psychology, but it cannot be said that research has shed a great deal of light on the problem. Means-end analysis is inherently tied to the propositional form of data representation. Subproblem generation might use either an image or propositional notation. Clearly the distinction between image and proposition is important for computer problem solving.
思想的机制
本章介绍了解决非常复杂问题的一种思路。除非有某种向机器发出命令的方法,否则计算系统对用户来说价值不大。为了做到这一点,必须有一种语言,用户可以用它来说明要做什么,然后通过某种自动化过程将其翻译成一系列基本的机器操作。实时计算系统经常参考数据库,以确定如何处理当前的服务请求。长期记忆的组织和修改显然是心理学的一个中心话题,但并不能说研究已经对这个问题有了很大的了解。目的分析本质上与数据表示的命题形式联系在一起。子问题生成可以使用图像或命题表示法。显然,图像和命题之间的区别对计算机问题解决很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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