weight-peers-cognitive-snr-divergence TEC-0339 · proposedWeight peers by cognitive SNR, not by divergence
Each incoming agent message is weighted by the sender's asserted belief precision divided by the KL divergence between its reported belief and what the receiver's second-order model predicts a peer with that telemetry access should have rep
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
Each incoming agent message is weighted by the sender's asserted belief precision divided by the KL divergence between its reported belief and what the receiver's second-order model predicts a peer with that telemetry access should have rep Filed by the drafting stage from Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks (2609.01779) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Ranking the four peers at storm onset averaged over 80 rounds: cognitive SNR gave AUC 1.000 for identifying the single correct peer while a divergence gate gave AUC 0.000; the correct peer scored +7.8 dB against -4.3 dB for the miscalibrated one, a ~13x trust-weight advantage. Recursion-depth sweep: depth 2 recovered the correct action in every trial (accuracy 1.000) vs 0.050 at depth 1 and 0.083 at depth 3.. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
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Sources
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