Problem solving and reasoning

J. Greeno, H. Simon
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引用次数: 39

Abstract

Abstract : This long chapter reviews research on problem solving and reasoning; the intended use is as text material for advanced students and others needing a moderately detailed introduction to the topics. The orientation is primarily psychological, with significant attention given to results from artificial intelligence. Major theoretical concepts, such as problem representation, the problem space, strategic knowledge, and problem-solving search, are developed in detail; and major empirical methods such as thinking-aloud protocols, problem-behavior graphs, and use of error patterns and latencies, are described and illustrated. Sections of the chapter include: Problems with well specified goals and procedures, Problems of design and arrangement, Inductive problem solving, and Evaluation of deductive arguments. (Author)
解决问题和推理
摘要:这一长章回顾了问题解决和推理的研究;本书的预期用途是作为高级学生和其他需要适度详细介绍主题的人的文本材料。定位主要是心理上的,对人工智能的结果给予了极大的关注。主要的理论概念,如问题表示,问题空间,战略知识,和解决问题的搜索,详细发展;并描述和说明了主要的经验方法,如大声思考协议、问题行为图以及错误模式和延迟的使用。本章的章节包括:有明确目标和程序的问题,设计和安排的问题,归纳问题的解决,以及演绎论点的评价。(作者)
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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