生态系统的解释

D. Riordan, K. Carden
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引用次数: 1

摘要

在生态学中使用专家系统可以极大地受益于解释生成技术的最新进展。这些技术可以促进专家系统的构建,增加管理者的信心。我们研究工作的目标是设计和构建专家系统软件,可以在专家系统中产生用于生态领域的增强解释。我们的第一个努力是确定与生态学家相关的解释的功能要求。确定了三个需求:证明在生态推理过程中建模的特定类型的不确定性之间的关系,量化这些类型的不确定性对系统结论的影响,以及识别该推理过程中的“关键状态”。第二项工作是设计有效的软件模块,将这些需求集成到现有的专家系统中。我们提出了一种解释技术,可以分析和呈现推理过程的模型,由专家生态学家以一种容易与实用性相关的方式使用,例如优先级分配,以及一种识别和分析推理过程中在咨询过程中变得相对关键的点的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explanation in ecological systems
The use of expert systems in ecology can benefit greatly from recent advances in explanation generating techniques. These techniques can facilitate the construction of expert systems and increase manager confidence. The objectives of our research work are to design and construct expert systems software that can produce enhanced explanations in expert systems for use in the ecological domain. Our first effort was the identification of the functional requirements of explanation that were relevant to ecologists. Three needs were identified: demonstration of the relationships between the specific kinds of uncertainty modeled in the ecological reasoning process, quantification of the effect which these kinds of uncertainty have on the conclusions of the system, and identification of “critical states” in this reasoning process. The second effort was the design of efficient software modules for integrating these requirements into existing expert systems. We present an explanatory technique which can analyze and present the model of the reasoning process, used by expert ecologists in a way which can be easily related to practicalities such as the allocation of priorities, and, a mechanism to identify and analyze points in this reasoning process that become relatively critical during a consultation.
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