Lessons learned deploying space planning systems

被引：1

作者：

Chien, S ^{[1
]}

Estlin, T ^{[1
]}

Fisher, F ^{[1
]}

Rabideau, G ^{[1
]}

机构：

[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA

来源：

APPLIED ARTIFICIAL INTELLIGENCE | 2001年 / 15卷 / 02期

关键词：

D O I：

10.1080/088395101750065750

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article describes a number of lessons learned in deploying automated planning and scheduling systems for space applications at the Jet Propulsion Laboratory. Specifically, we describe issues relating to how plan representation can affect plan quality; how to acquire, validate and maintain planning knowledge bases; and how planning and execution can be integrated. These issues are described in the context of several fielded systems in the areas of science data analysis, ground station automation, and spacecraft autonomy.

引用

页码：161 / 187

页数：27

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