Swarm Intelligence and Robotics
Max-min consensus is a distributed algorithm used in multi-agent systems where agents aim to reach a common decision by sharing information about their individual estimates. This approach ensures that all agents agree on the maximum of the minimum values they have observed, facilitating convergence towards a unified solution in scenarios with conflicting information. The process emphasizes fairness and robustness by allowing the weakest signal among the agents to influence the consensus outcome.
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