医学领域的可否定推理和基于论证的系统:非正式概述

L. Longo, Pierpaolo Dondio
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引用次数: 30

摘要

本文的第一个目的是向读者非正式地提供可废止和非单调推理的基本概念,这是借用人工智能的逻辑。然后,它描述了论证理论,一个在实践中实现可论证推理的范例,以及基于论证的模型通常建立在其上的常见多层模式。第二个目的是描述在医疗和保健部门中基于论证的应用的选择。最后,本文将总结可否定推理和论证理论在本文所述应用中所表现出的吸引人的特点。目标读者是医学或保健从业人员,在正式知识表示和逻辑方面的技能有限,对增强证据建模和聚合感兴趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defeasible Reasoning and Argument-Based Systems in Medical Fields: An Informal Overview
The first aim of this article is to provide readers informally with the basic notions of defeasible and non-monotonic reasoning, logics borrowed from artificial intelligence. It then describes argumentation theory, a paradigm for implementing defeasible reasoning in practice as well as the common multi-layer schema upon which argument-based models are usually built. The second aim is to describe the selection of argument-based applications in the medical and health-care sectors. Finally, the paper will conclude with a summary of the features, which make defeasible reasoning and argumentation theory attractive, that emerge from the applications under review. The target reader is a medical or health-care practitioner, with limited skills in formal knowledge representation and logic, interested in enhancing evidence modelling and aggregation.
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