Abstract
This paper presents the identification of emotions using Watson, a natural language processing tool, applied to multi-agent systems. In this approach, Watson acts as an intermediary between agents and identifies the emotions expressed in exchanged messages to assist in the agents’ decision-making. The identification of emotions was based on the OCC model using tokens – words related to each emotion – which are useful for identifying and indicating the intensity of emotions. We built a prototype using the Jason platform to test communication between two agents, with Watson acting as an intermediary to identify emotions based on the OCC model. As an experiment, we present a study in Prisoner’s Dilemma and how emotions change agents’ decision-making.
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Rapport originated in psychology, used to designate the technique of generating an empathetic bond with another person, for communication without resistance.
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Dantas, T., Farias, G., Billa, C., Gonçalves, E., Adamatti, D. (2025). Emotions Identification in Exchanges of Messages Between Agents. In: Correia, L., Rosá, A., Garijo, F. (eds) Advances in Artificial Intelligence – IBERAMIA 2024. IBERAMIA 2024. Lecture Notes in Computer Science, vol 15277. Springer, Cham. https://doi.org/10.1007/978-3-031-80366-6_30
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