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ADAPTIVE MULTI-AGENT COOPERATIVE COMPUTATION AND INFERENCE
ADAPTIVE MULTI-AGENT COOPERATIVE COMPUTATION AND INFERENCE
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机译:自适应多代理协作计算和推理
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摘要
In a first device in response to an event input, using a processor and a memory, a local classification and a local classification confidence score corresponding to the event input are computed. At the first device in response to a broadcast request, a remote classification and a remote classification confidence score corresponding to the event input are received, the remote classification and the remote classification confidence score being computed at a second device. At the first device, a consensus classification including the most frequent classification from a set of all received remote classifications and the local classification is formed, provided the number of classifications including the most frequent classification exceeds a threshold. In response to a consensus classification confidence score corresponding to the consensus classification exceeding a confidence threshold, a local classification model is updated. Based on the local classification and the consensus classification, the event input is assigned to a classification.
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