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摘要翻译：
在分析前人研究成果的基础上，提出了一种度量计划差异的广义方法，并将其应用于机器调度问题。我们的工作是出于对这些措施的需要，这些措施用于动态调度和计划情况。在这种情况下，需要定量的方法来评估调度的鲁棒性和稳定性。显然，任何计划的“稳健性”或“稳定性”都必须加以定义。R.T.特定的情况和人类决策者的要求。除了提出一个不稳定性测度之外，我们还讨论了从决策者那里获得有意义的信息以实施所引入的方法的可能性。
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英文标题：
《On the comparison of plans: Proposition of an instability measure for
dynamic machine scheduling》
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作者：
Martin Josef Geiger
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最新提交年份：
2010
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
On the basis of an analysis of previous research, we present a generalized approach for measuring the difference of plans with an exemplary application to machine scheduling. Our work is motivated by the need for such measures, which are used in dynamic scheduling and planning situations. In this context, quantitative approaches are needed for the assessment of the robustness and stability of schedules. Obviously, any `robustness' or `stability' of plans has to be defined w. r. t. the particular situation and the requirements of the human decision maker. Besides the proposition of an instability measure, we therefore discuss possibilities of obtaining meaningful information from the decision maker for the implementation of the introduced approach.
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PDF链接：
https://arxiv.org/pdf/1004.4734
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