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The Blind Leading the Blind: Mutual Refinement of Approximate Theories

机译：盲人领导盲人：近似理论的相互完善

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摘要

We describe mutual theory refinement, a method for refining world models in a reactive system. The method detects failures, explains their causes, and repairs the approximate models which caused the failures. Our approach focuses on using one approximate model to refine another.

机译：我们描述了相互理论的细化，这是一种在反应系统中细化世界模型的方法。该方法检测故障，解释其原因，并修复引起故障的近似模型。我们的方法着重于使用一种近似模型来完善另一种。

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来源
《Machinee learning》|1991年|308-312|共5页
会议地点 Evanston IL(US);Evanston IL(US)
作者
Smadar T. Kedar; John L. Bresina; C. Lisa Dent;
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作者单位

Sterling Federal Systems NASA Ames, M/S: 244-17 Moffett Field, CA 94035;

Sterling Federal Systems NASA Ames, M/S: 244-17 Moffett Field, CA 94035;

School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213;

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正文语种 eng
中图分类计算机的应用;
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7. The blind leading the blind: Mutual refinement of approximate theories [O] . Dent, C. Lisa, Bresina, John L., Kedar, Smadar T. 1991

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8. The blind leading the blind: Mutual refinement of approximate theories [R] . Kedar, Smadar T., Bresina, John L., Dent, C. Lisa 1991

机译：盲人领导盲人：近似理论的相互完善

The Blind Leading the Blind: Mutual Refinement of Approximate Theories

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