Abstract
Mixed emotions, especially those in conflict, sway agent decisions and result in dramatic changes in social scenarios. However, the emotion models and architectures for virtual agents are not yet advanced enough to be imbedded with coexisting emotions. In this thesis, an improved emotion model from OCC integrated with decision making algorithms is proposed to deal with two topics: the generation of coexisting emotions, and the resolution to ambivalence, in which two emotions conflict. A scenario of ambivalence is provided to illustrate the process of agent’s decision-making.