Situation perception is proposed as a necessary primitive for artificial superintelligence, requiring abstract prediction, long-term compressed memory, and objective-guided active learning.
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2 Pith papers cite this work. Polarity classification is still indexing.
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This survey frames foundation agents using brain-inspired modular architectures and reviews challenges in evolution, collaboration, and safety.
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Situation Perception: A Necessary Primitive to Artificial Superintelligence
Situation perception is proposed as a necessary primitive for artificial superintelligence, requiring abstract prediction, long-term compressed memory, and objective-guided active learning.
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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
This survey frames foundation agents using brain-inspired modular architectures and reviews challenges in evolution, collaboration, and safety.