Engineering a Stochastic Socio-Economic Digital Twin: GraphRAG, Temporal State Consistency, and Collective Emergence in Multi-Agent Swarms
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The primary bottleneck in agentic AI today is not model intelligence—it is state drift in multi-agent environments . When attempting to model collective human behavior during non-linear black swan events, conventional single-prompt architectures fail because they lack demographic grounding, memory…
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- 2026-09-01 11:22 · r/learnmachinelearning
Engineering a Stochastic Socio-Economic Digital Twin: GraphRAG, Temporal State Consistency, and Collective Emergence in Multi-Agent Swarms