Using progressive adaptability against the complexity of modeling emotionally influenced virtual agents
نویسندگان
چکیده
The traditional consideration that intelligent behaviors can only be produced from pure reasoning fails when trying to explain most of human behaviors, in which the emotional component has a decisive weight. However, the inclusion of this kind of emotional factors charges agent architectures with an extra complexity, making them less efficient or reusable. This paper presents a generic cognitive architecture for agents with emotionally influenced behaviors, called COGNITIVA, which bets on adaptability to fight against that complexity. This architecture, together with a progressive specification process for its application, has been used successfully to model 3D intelligent virtual agents.
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