This type of dynamic average consensus (see academic literature: https://ieeexplore.ieee.org/document/8716798) was the original motivating use case for developing conviction voting. Unlike other "voting" algorithms, conviction voting is derived from signal processing, its naturally "real time" as opposed to discrete event. The threshold to pass logic was created in order to mimic a neuron-firing logic, which converts continuous real-time value "conviction" into a discrete event where a proposal passes. Conviction voting should be treated like a different kind of tool from other voting mechanisms, but it serves complementary use cases relative to standard pass/fail mechanisms.

Michael Zargham
Michael Zargham

Written by Michael Zargham

Founder, Researcher, Decision Engineer, Data Scientist; PhD in systems engineering, control of networks.

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