General Intelligence
Artificial General Intelligence (AGI) research aims to create systems exhibiting human-like adaptability and problem-solving across diverse, open-ended tasks, moving beyond specialized AI. Current efforts focus on developing models that can handle uncertainty, learn from limited resources, and integrate emotional intelligence without sacrificing general capabilities, employing architectures like transformers and graph neural networks, and exploring metacognitive frameworks for knowledge representation and generalization. This field is significant for its potential to revolutionize various sectors, including education, and for its implications in understanding the fundamental nature of intelligence itself.
Papers
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