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首页> 外文会议>International Conference on Intelligent Data Engineering and Automated Learning >Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics
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Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics

机译：弥合神经科学，哲学和进化生物学的差距，提出一种对人类伦理的机器学习的方法

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The growing explosion of ideas such as Artificial Intelligence (AI), smart environments and ubiquitous computing has led to the creation of the Ambient Intelligence (AmI) paradigm. As AmI begins to take place, moving from a futuristic idea to a reality, we are gradually witnessing the creation of an omnipresent, responsive, and intelligent atmosphere in which thousands of tiny sensors and natural user interfaces will be embedded in our natural movements and in our social and physical interactions. Hence, a key challenge in this multi-disciplinary approach is to get machines to act according to ethical priorities that make sense to human beings. In this study, we improve the capacity for machine ethics to approach human ethics by assessing the computation of transaction values and we argue that it is possible to perform such a computation using recent work that describes the effects of human decision-making using an axiomatic framework. This paper clarifies the relationship between the brain's 3-axes of neuroscience, the 3 Plato's Transcen-dentals of philosophy and the biological evolution's 3-components, as well as the top-down vs. bottom-up approaches to machine ethics.
机译：人工智能（AI），智能环境和无处不在的计算等思想越来越大的思想导致了环境智能（AMI）范式的创建。随着AMI开始举行的，从一个未来主义的想法转变为现实，我们逐步目睹了创造了一定的敏感，响应和智能气氛，其中千分之一的传感器和自然用户界面将嵌入我们的自然运动中我们的社会和身体互动。因此，这种多学科方法中的一个关键挑战是让机器根据道德优先事项对人类有意义。用公理化框架在这项研究中，我们通过评估交易价值的计算提高机器伦理的做法人类道德的能力，我们认为有可能使用说明人类的影响，近期的工作进行这样的计算的决策。本文阐明了大脑3轴的神经科学之间的关系，这是哲学的3个柏拉图的跨界洞穴和生物进化的3组件，以及自下而下的与机器道德的自下而上的方法。

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