MindFrameAI

The MindFrameAI: Collaborative Intelligence and Empathy in AI area focuses on leveraging cognitive architectures, large language models, and reinforcement learning to create empathetic, adaptive, and collaborative AI systems. Our goal is to advance personalized education, human-AI collaboration, and emotionally intelligent interactions in diverse fields such as education, healthcare, and virtual environments.

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Empathetic AI Systems

We design AI agents powered by advanced cognitive architectures and Theory of Mind (ToM) capabilities, enabling them to understand and respond to user mental states, including beliefs, emotions, and intentions. These systems enhance empathetic interactions in areas such as education, mental health, and immersive experiences.

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Personalized Education

Through large language models (LLMs) and reinforcement learning, we develop AI-driven personalized learning systems. These systems deliver tailored, one-on-one learning experiences, dynamically adapting to individual performance, emotional states, and preferences to accelerate learning and improve outcomes.

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Human-AI Collaboration

We focus on creating multi-agent systems that enhance collaboration between AI and humans in complex scenarios. By integrating cognitive empathy and adaptive reasoning, these systems enable seamless teamwork, improved decision-making, and efficient coordination in dynamic environments.

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Toolkits and Datasets

We provide robust toolkits and datasets to support the development and evaluation of cognitive empathetic AI systems. These resources facilitate research in personalized education, collaborative intelligence, and multi-agent collaboration.