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.
Blockagents: Towards byzantine-robust llm-based multi-agent coordination via blockchain
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The paper proposes four symbolic disagreement states (convergent agreement, divergent agreement, convergent disagreement, divergent disagreement) derived from reasoning traces and binary decisions to support defeasible strategic routing in multi-agent systems.
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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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Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal
The paper proposes four symbolic disagreement states (convergent agreement, divergent agreement, convergent disagreement, divergent disagreement) derived from reasoning traces and binary decisions to support defeasible strategic routing in multi-agent systems.