An Affective Model of Action Selection for Virtual Humans

The goal of our work aims at implementing progressively an action selection affective model for virtual humans that should be in the end autonomous, adaptive and sociable. Affect, traditionallydistinguished from "cold" cognition, regroups emotions and motivations which are highly intertwined.We present a bottom-up approach by implementing first a motivational model of action selection to obtain motivationally autonomous virtual humans. For the adaptability of virtual humans and completeness of our affective model of action selection, we will define the interactions between motivations and emotions in order to integrate an emotional layer. In order to understand how they affect decision making in virtual humans, the motivations should represent more quantitative aspect of the decision making whereas emotions should be more qualitative one.

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Proceedings of Agents that Want and Like: Motivational and Emotional Roots of Cognition and Action symposium at the Artificial Intelligence and Social Behaviors 2005 Conference (AISB'05)

 Record created 2007-01-16, last modified 2018-03-17

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