A Proposed Action Selection Mechanism for Autonomous Agents Performing Morality-Based Behavior

Abstract

In social simulation, which is used to understand the real world more efficiently, agents are required to be able to cope with dynamic environments and to behave in a way that reflects human-specific behaviors. In this study, we focused on moral behavior among the various elements of human-specific behavior, such as communicative behavior, expression of feelings and emotions, and so on. In addition, we focused on the concepts of manners and morals as motives for moral behavior. We believe that the use of these two concepts enables people to choose moral behavior because they can comply with rules and follow the ethical standards of the society as a whole. By introducing the concepts of manners and morals into the multi-agent planning method, which is capable of dealing with dynamic environments, we confirmed that by suppressing unethical behavior, agents can reproduce human-specific moral behavior and adapt to social contexts.