Adaptive Entangled Game Modules in Artificial General Intelligence
Key takeaway
We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI) nonlocal probability-wave equation.
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PDOOM selected this story for its capabilities signals: Artificial General Intelligence.
Artificial General IntelligenceFrom ArXiv cs.AI
We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI) nonlocal probability-wave equation. This framework captures a broad range of human intelligence behaviors with analytical mechanisms and offers an indirect method to examine the Liu-Chen-Ao (LCA) hypothesis of nonlocal entangled nerve fibers in the brain throu
By Haochen Li, Xinshuai Guo, Jingdong Ouyang, Wei Zhang, Leilei Shi