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- W2801960712 abstract "One of the most important contemporary directions of development in the field of artificial intelligence is to equip AI systems with emotional intelligence. This work is part of this trend. The paper presents a mathematical model that allows us to describe changes in players’ emotional states as a response to dialogue actions. To this end, we use the paradigm of dialogue games and propose a method of rating locutions. The method is inspired by the affective rating system SAM which uses Mehrabian’s PAD space which distinguishes emotions because of three attributes: Pleasantness (valence) (P), Arousal (A), and Dominance (D). Emotions that are analyzed are taken from Ekman’s model with five universally accepted labels: fear, disgust, anger, sadness, and joy. In addition, we describe the emerging tool for the realization of dialogue games with emotional reasoning. This tool is the basis for designing a system for verifying the properties of dialog protocols." @default.
- W2801960712 created "2018-05-17" @default.
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- W2801960712 date "2018-01-01" @default.
- W2801960712 modified "2023-09-27" @default.
- W2801960712 title "Modelling the Affective Power of Locutions in a Persuasive Dialogue Game" @default.
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- W2801960712 doi "https://doi.org/10.1007/978-3-319-91262-2_49" @default.
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