Generating Norm-Related Emotions in Virtual Agents

The increased believability provided by emotions in virtual characters is a valuable feature in a multi agent environment. Despite much research on how to model emotions based on events that affect a character’s goals, the current emotional models usually do not take into account other sources of emotions, such as norms and standards. Moreover, current normative systems usually do not consider the role of emotions. Systems that include emotions and norms are too domain-specific or lack flexibility. We propose a model for the generation of emotions based on the appraisal of actions associated with norm-related events, such as the fulfilment or violation of a norm