Abstract
Research in affective computing shows that agents cannot be truly intelligent, nor believable or realistic without emotions. In this paper, we present a model of emotional agents that is based on a BDI architecture. We show how we can integrate emotions, resources and personality features into an artificial intelligent agent so as to obtain a human-like behavior of this agent. We place our work in the general context of existing research in emotional agents, with emphasis on BDI emotional models.
Highlights
When building rational agents, the Belief-Desire-Intention (BDI) model [1] has proven to be one of the best options one can select
We propose an emotional agent architecture that focuses on the influence of emotions on the behavior and the way resources are used depending on the emotional state
These results lead to the concept of emotional agents, which aim at being more realistic and providing a more engaging experience in human-computer interaction (HCI), and at improving the performance of rational agents
Summary
We propose an emotional agent architecture that focuses on the influence of emotions on the behavior and the way resources are used depending on the emotional state. Anything that comes from the environment: stimuli or messages from other agents
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