A CONSTRAINT REPRESENTATION AND EXPLANATION FACILITY FOR RENAL PHYSIOLOGY
A CONSTRAINT REPRESENTATION AND EXPLANATION FACILITY FOR RENAL PHYSIOLOGY
复制标题
肾脏生理学的约束表示和解释工具
DOI：
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发表时间：
1984
期刊：
影响因子：
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通讯作者：
I. Ashbell
中科院分区：
文献类型：
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作者：
I. Ashbell
目前对人工智能的研究已经产生了计算机程序，这些程序有可能增强医生诊断疾病的能力。第一代的医学诊断程序包含代表疾病和发现之间联系的医学事实。最重要的一步是开发具有生理过程模型的计算机程序，并有能力从观察到的体征和症状中得出生理上的理由。在这篇论文中，一个程序，其中模拟潜在的人类生理学的一个子集的偶然机制是公开的。我们将首先讨论使用的相关人工智能技术：设想、定性推理、约束传播和灰盒。为了将这些方法结合在一起，引入了解释框的概念。论文的其余部分致力于介绍一个解释盒网络，该网络能够代表肾脏生理学的三个综合征
Current research in Artificial Intelligence has yielded computer programs which have potential to augment the physician's ability to diagnose illness. The medical diagnoses programs of the first generation contain medical facts representing associations between diseases and findings. A most important step is the development of computer programs that have models of physiological processes and have the ability to derive physiological justifications of observed signs and symptoms. In this thesis, a program which models the casual mechanism underlying a subset of human physiology is unveiled. We shall begin with a discussion of the relevant AI techniques used: envisionment, qualitative reasoning, propagation of constraints and grey boxes. To tie together these methodologies, the concept of explanation boxes is introduced. The rest of the thesis is devoted to the presentation of an explanation box network which is able to represent the physiological pertaining to three syndromes of renal physiology