Affective computing
Affective learning companions: strategies for empathetic agents with real-time multimodal affective sensing to foster meta-cognitive and meta-affective approaches to learning, motivation, and perseverance
Gender-Specific Approaches to Developing Emotionally Intelligent Learning Companions
IEEE Intelligent Systems
Context-Aware Emotion-Based Model for Group Decision Making
IEEE Intelligent Systems
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One's mood influences one's inclination to either rely on one's current beliefs or search for different ones. Since mood may reflect one's failures and achievements from interacting with the environment, perhaps this influence is working to our advantage. We propose a simple agent architecture, where the behaviors of learning from or teaching other agents are dependent on the agent's current mood. Using a particular multi-agent scenario, we demonstrate how this approach can lead an entire group of agents to learn a structured concept that was unknown to any of the agents.