时态决策树：基于模型的动态系统诊断 在船上

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摘要翻译：
基于领域模型离线推理的决策树自动生成是技术领域中基于模型方法的优点与嵌入式应用的约束之间的合理折衷。本文将该方法扩展到时态信息的处理。我们引入了时态决策树的概念，它旨在利用所获得的相关信息，并给出了从基于模型的推理系统中编译时态决策树的算法。
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英文标题：
《Temporal Decision Trees: Model-based Diagnosis of Dynamic Systems
  On-Board》
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作者：
L. Console, C. Picardi, D. Theseider Dupr\`e
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最新提交年份：
2011
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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：
  The automatic generation of decision trees based on off-line reasoning on models of a domain is a reasonable compromise between the advantages of using a model-based approach in technical domains and the constraints imposed by embedded applications. In this paper we extend the approach to deal with temporal information. We introduce a notion of temporal decision tree, which is designed to make use of relevant information as long as it is acquired, and we present an algorithm for compiling such trees from a model-based reasoning system.
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PDF链接：
https://arxiv.org/pdf/1106.5268

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关键词：动态系统 决策树 Applications Presentation Intelligence 系统 trees Model 自动 reasoning