多主体公地悲剧中的人工良性主体
Artificial virtuous agents in a multiagent tragedy of the commons
摘要：
虽然美德伦理学已经多次被提出作为一个合适的框架，人工道德代理（AMAs）的发展，它已被证明是难以接近从计算的角度来看。在这项工作中，我们提出了人工良性代理（AVA）的道德模拟的第一个技术实现。首先，我们回顾了之前在人工美德伦理学方面的概念和技术工作，并描述了基于气质美德、自下而上的学习和自上而下的幸福奖励的AVA功能主义路径。然后，我们提供了一个技术实现的细节，在道德模拟的基础上的悲剧的公地的情况。实验结果表明，AVA如何学会解决合作问题，同时表现出他们的理论对应的核心特征，包括道德品质，气质美德，从经验中学习，追求幸福。最后，我们认为，美德伦理学提供了一个令人信服的道路，道德优秀的机器，我们的工作提供了一个重要的起点，这样的努力。
英文摘要：
Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents (AMAs), it has been proven difficult to approach from a computational perspective. In this work, we present the first technical implementation of artificial virtuous agents (AVAs) in moral simulations. First, we review previous conceptual and technical work in artificial virtue ethics and describe a functionalistic path to AVAs based on dispositional virtues, bottom-up learning, and top-down eudaimonic reward. We then provide the details of a technical implementation in a moral simulation based on a tragedy of the commons scenario. The experimental results show how the AVAs learn to tackle cooperation problems while exhibiting core features of their theoretical counterpart, including moral character, dispositional virtues, learning from experience, and the pursuit of eudaimonia. Ultimately, we argue that virtue ethics provides a compelling path toward morally excellent machines and that our work provides an important starting point for such endeavors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
