Shared Intentionality
Shared intentionality, the ability to understand and share goals and intentions with others, is a crucial aspect of human intelligence currently being investigated in artificial intelligence research. Current efforts focus on developing models that can infer intentions from diverse behavioral data, using techniques like imitation learning and inverse reinforcement learning, often incorporating graph neural networks for multi-agent collaboration. This research aims to improve human-AI interaction and collaboration by enabling AI systems to better understand and respond to human intentions, with applications ranging from user interface design to complex task coordination in domains like wildfire management.
Papers
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