Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL ...
A novel theory of the stages of ethical development in intelligent systems is proposed, incorporating prior related theories by Kohlberg and Gilligan, as well as Piaget's theo...
Abstract. We introduce a general framework for reasoning with prioritized data by aggregation of distance functions, study some basic properties of the entailment relations that ar...