Modeling Motivations, Personality Traits and Emotional States in Deliberative Agents Based on Automated Planning

Abstract

There is a wide variety of applications that require modeling the behaviour of virtual agents. Some of these applications aim at human interaction, such as virtual assistants, and others aim at simulation of human behavior, such as games or robotics. Most of these applications require not only some level of intelligent behavior, but also a display of realistic human behavior. This has led to the definition and use of models that integrate features like emotions, personality traits, preferences and motivations. Most of this work has been carried out in the context of reactive architectures. Thus, the reasoning on the emotional state of agents is only performed for the very next future, generating behavior that is myopic for middle or long term goals. In this paper, we propose instead a deliberative model based on automated planning that integrates all these features for long term reasoning. © Springer-Verlag Berlin Heidelberg 2013.