A New Architecture for Making Moral Agents Based on C4.5 Decision Tree Algorithm

A new architecture is presented in order to build moral agents that learn from demonstrations and is based on Beauchamp and Childress's principles of biomedical ethics and uses decision tree algorithm to abstract relationships between ethical principles and morality of actions.