Modeling Emotional State and Personality for Conversational Agents
نویسنده
چکیده
We describe an architecture for constructing a character-based agent based on speech and graphical interactions. The architecture uses models of emotions and personality encoded as Bayesian networks to 1) diagnose the emotions and personality of the user, and 2) generate appropriate behavior by an automated agent in response to the user’s input. Classes of interaction that are interpreted and/or generated include such things
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تاریخ انتشار 1998