Computational Models of Emotion: A Review

Authors: J. Gratch, S. Marsella
Year: 2005
Summary: This paper provides a comprehensive review of computational models of emotion, with a strong focus on appraisal theory. It categorizes models into those that focus on how emotions arise from situations (affect-antecedent) and those that focus on how emotions influence cognition and behavior (affect-consequent). It discusses models like WASABI and EMA, which provide frameworks for agents to generate their own emotions based on their goals and beliefs.
Link: https://www.researchgate.net/publication/220410436_Computational_Models_of_Emotion_A_Review