On the representation of problems in artificial intelligence

S. Amarel
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Abstract

Summary form only. In determining the computer language requirements for implementation of problem solving processes in AI, it is essential to clarify the nature of components that enter in the formulation of problems, solutions, and problem-solving procedures. An abstract formulation of a pattern in AI includes: the specification of a domain of discourse, the characterization of a set of possible solutions, and the specification of problem conditions that a member of the solution set must satisfy for it to be accepted as a solution to the problem. The data structures and process structures of program formulations of problems must be responsive to the characteristics of procedural formulations, which, in turn, depend on features of the key components of abstract problem formulations.<>
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关于人工智能中问题的表示
只有摘要形式。在确定在人工智能中实现问题解决过程的计算机语言要求时,有必要澄清进入问题、解决方案和问题解决程序制定的组件的性质。人工智能模式的抽象表述包括:话语领域的规范,一组可能解决方案的特征描述,以及解决方案集中的成员必须满足的问题条件的规范,才能被接受为问题的解决方案。问题的程序表述的数据结构和过程结构必须响应程序表述的特征,而程序表述的特征又依赖于抽象问题表述的关键组成部分的特征
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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