Randomized Weibull anchors and debiased collective memory with decay and inflection bonuses let agentic AI in 6G cut anchoring, temporal, and confirmation biases, doubling energy savings to 25% and reducing latency by 5x in simulations.
Status quo bias in decision making
2 Pith papers cite this work. Polarity classification is still indexing.
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Preisach hysteresis framing of latent worker utilities, estimated by margin-trained dual NN and XGBoost on price encodings, yields 0.799 AUC and supports simultaneous 21.3% wage-bill reduction plus 9.7 pp fill-rate gain on 36k gig transactions.
citing papers explorer
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A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks
Randomized Weibull anchors and debiased collective memory with decay and inflection bonuses let agentic AI in 6G cut anchoring, temporal, and confirmation biases, doubling energy savings to 25% and reducing latency by 5x in simulations.
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Worker Utility as Hysteresis: A Preisach Model of Transaction Acceptance in Gig Labour Markets
Preisach hysteresis framing of latent worker utilities, estimated by margin-trained dual NN and XGBoost on price encodings, yields 0.799 AUC and supports simultaneous 21.3% wage-bill reduction plus 9.7 pp fill-rate gain on 36k gig transactions.