用模糊规则与佩特里网验证伦理决策模型，提升可信度
A Fuzzy Approach to the Specification, Verification and Validation of Risk-Based Ethical Decision Making Models
- 以模糊规则形式化伦理决策模型
- 通过模糊佩特里网实现模型验证与确认
- 适用于医疗等高风险伦理场景
道德领域固有的本体论和认识论复杂性使得难以建立明确标准来评估道德机器的性能。本文提出一种基于伦理风险评估的形式化方法，用于描述伦理决策模型。我们展示如何将这些以模糊规则表示的模型，利用模糊佩特里网进行验证与确认。通过一个医疗领域的案例研究，说明了该方法的可行性与实用性。
原文摘要 · Abstract (English)
The ontological and epistemic complexities inherent in the moral domain make it challenging to establish clear standards for evaluating the performance of a moral machine. In this paper, we present a formal method to describe Ethical Decision Making models based on ethical risk assessment. Then, we show how these models that are specified as fuzzy rules can be verified and validated using fuzzy Petri nets. A case study from the medical field is considered to illustrate the proposed approach.
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