At the end of 2018, the article entitled „Learning How to Behave: Moral Competence for Social Robots“ by Bertram F. Malle and Matthias Scheutz was published in the „Handbuch Maschinenethik“ („Handbook Machine Ethics“) (ed.: Oliver Bendel). An excerpt from the abstract: „We describe a theoretical framework and recent research on one key aspect of robot ethics: the development and implementation of a robot’s moral competence.“ The authors propose „that moral competence consists of five elements, two constituents (moral norms and moral vocabulary) and three activities (moral judgment, moral action, and moral communication)“. „A robot’s computational representations of social and moral norms is a prerequisite for all three moral activities. However, merely programming in advance the vast network of human norms is impossible, so new computational learning algorithms are needed that allow robots to acquire and update the context-specific and graded norms relevant to their domain of deployment. Moral vocabulary is needed primarily for moral communication, which expresses moral judgments of others’ violations and explains one’s own moral violations – to justify them, apologize, or declare intentions to do better. Current robots have at best rudimentary moral competence, but with improved learning and reasoning they may begin to show the kinds of capacities that humans will expect of future social robots.“ (Abstract) An overview of the contributions that have been published electronically since 2017 can be found on link.springer.com/referencework/10.1007/978-3-658-17484-2.