In a minimal multi-agent model with only local feedback on output utilization, stable transformation chains, core-periphery structures, and novel states emerge spontaneously without global objectives or external selection.
Dynamical phases and resonance phenomena in information- processing recurrent neural networks.arXiv preprint arXiv:2108.02545, 2021
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Surviving by Serving: Functional Relevance Drives Self-Organization in Complex Adaptive Systems
In a minimal multi-agent model with only local feedback on output utilization, stable transformation chains, core-periphery structures, and novel states emerge spontaneously without global objectives or external selection.