AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Self-Organizing Agent Teams (SAT) are introduced, fixed teams of AI agents that learn reusable strategies from prior collaborations to organize roles, conversational phases, participation, and information flow, suggesting that organization itself can become an agent capability.
Over 10,000 communities of language-model agents that repeatedly exchange messages and revise their opinions across objective mathematics questions and subjective political statements demonstrate that collective behavior of AI agents, like that of other complex systems, follows compact and predictive dynamical laws.
AI agents increasingly operate as part of interacting systems rather than in isolation. As agents exchange information and jointly make decisions, their interactions can improve collective reasoning but may also produce herding, polarization, or amplify shared biases. Understanding and predicting these collective dynam...
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