Abstract
We describe a model of emotion and motivation that extends the MicroPsi motivation model for applications in conversational agents and tracking human emotions. The model is based on reactions of the agent to satisfaction and frustration of physiological, cognitive or social needs, and to changes of the agent’s expectations regarding such events. The model covers motivational states, affective states (modulation of cognition), feelings (sensations that correspond to a situation appraisal), emotions (conceptual aggregates of motivational states, modulators and feelings) and is currently being adapted to express emotional states.
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Bach, J., Coutinho, M., Lichtinger, L. (2019). Extending MicroPsi’s Model of Motivation and Emotion for Conversational Agents. In: Hammer, P., Agrawal, P., Goertzel, B., Iklé, M. (eds) Artificial General Intelligence. AGI 2019. Lecture Notes in Computer Science(), vol 11654. Springer, Cham. https://doi.org/10.1007/978-3-030-27005-6_4
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