Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Extensionally defining principles and cases in ethics: an AI model
Artificial Intelligence - Special issue on AI and law
An "Ethical" Game-Theoretic Solution Concept for Two-Player Perfect-Information Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Computational theories of mind, and Fodor's analysis of neural network behaviour
Journal of Experimental & Theoretical Artificial Intelligence
A Challenge for Machine Ethics
Minds and Machines
An artificial neural network approach for creating an ethical artificial agent
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
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Is it possible to learn to classify cases as morally acceptable or unacceptable without using moralprinciples? Jonathan Dancy has suggested that moral reasoning (including learning) could be done withoutmoral principles, and he has suggested that neural network models could aid in understanding how to dothis. This article explores Dancy's suggestion by presenting a neural network model of case classification.The author argues that although some nontrivial case classification might be possible without theexplicitly consulting or executing moral principles, the process of reclassifying cases is best explainedby using moral principles.This article is part of a special issue on Machine Ethics.