循环知识编程

M. Stefik, D. Bobrow, S. Mittal
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引用次数: 58

摘要

今年年初,有50人在施乐帕洛阿尔托研究中心参加了一门关于循环知识编程的实验课程。在课程中,他们扩展和调试了一个名为Truckin的模拟经济学领域的小型知识系统。每个人都学会了如何使用loop环境,将这些知识公式化到自己的程序中,并在loop中表示出来。课程结束时,还会举办一场知识竞赛,以便比较不同系统中使用的策略。这个故事的妙处是,几乎每个人都学到了足够的loop知识,可以在三天内完成一个小的知识系统。尽管在从小型实验中进行推断时必须谨慎,但结果表明,集成多种编程范例具有强大的力量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Programming in Loops
Early this year fifty people took an experimental course at Xerox PARC on knowledge programming in Loops. During the course, they extended and debugged small knowledge systems in a simulated economics domain called Truckin. Everyone learned how to use the environment Loops, formulated the knowledge for their own program, and represented it in Loops. At the end of the course a knowledge competition was run so that the strategies used in the different systems could be compared. The punchline to this story is that almost everyone learned enough about Loops to complete a small knowledge system in only three days. Although one must exercise caution in extrapolating from small experiments, the results suggest that there is substantial power in integrating multiple programming paradigms.
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