Affect and Emotion Taxonomy for Socially Intelligent Agents

In this article, we describe an Affective Knowledge Repre-sentation (AKR) scheme to represent emotion schemata to be used in the design a variety of socially intelligent artificial agents. Our approach in this article and in the applications of our AKR scheme, focusses on the notion of “social expertise” of socially intelligent agents in terms of their 1) external be-havior and 2) internal motivational goal-based abilities. AKR is derived from combining multiple emotion theories in a use-ful hierarchical model of affective phenomena and includes a taxonomy of affect, mood, emotion, and personality, as well as a framework for emotional state dynamics. Our model is being applied to design and implement two systems: 1) EBA, an Emotion-Based Architecture for two autonomous robots, 2) MAUI, a Multimodal Affective User Interface agent