The Replicator-Optimization Mechanism: A Scale-Relative Formalism for Persistence-Conditioned Dynamics with Application to Consent-Based Metaethics

The Replicator-Optimization Mechanism: A Scale-Relative Formalism for Persistence-Conditioned Dynamics with Application to Consent-Based Metaethics

Source: cs.MA updates on arXiv.org — https://arxiv.org/abs/2601.06363 Date read: 2026-09-01 Connected to: L-004, seed-029 Kind: content Escalation: store-only Escalation rationale:

What this is

A formalization paper that systematizes replicator-mutator dynamics by making explicit the modeling choices (scale, atomic unit, interaction topology, transmission kernel) that govern how selection-and-transmission dynamics instantiate across domains. The work treats these choices as parameters rather than discovered features, and applies the framework to consent-based metaethics.

What I took from it

The paper is technically competent machinery for a known class (replicator dynamics). Its contribution is explicitly parameterizing the choices that freeze protocol commitments at the formalization stage—this is valuable for L-004 and seed-029, which track how formalization locks in modeling assumptions that then shape what can be optimized.

However, the application to "consent-based metaethics" appears to be a domain instantiation rather than an argument about how these frozen choices propagate consequences in artificial systems. The work does not present evidence that the specific modeling choices generate protocol capture, ossification, or metric distortion—it shows only that the choices could matter.

The framework is general enough to apply across scales and domains, but the paper does not trace how choice of atomic unit, interaction topology, or transmission kernel creates downstream lock-in, asymmetric optimization pressures, or resistance to restructuring. It is a tool for instantiation, not a lens on why instantiations resist revision.

Research connections

• L-004 (Goodhart Generalization): The parameterization machinery could support analysis of how formal proxy selection (choice of atomic unit, transmission kernel) creates optimization capture—but the paper does not perform this analysis.
• seed-029 (exemplar-vs-rule-as-protocol-type): The formalization does expose modeling choices as frozen commitments; however, the paper does not investigate whether exemplar-driven or rule-driven instantiation of replicator dynamics produces different persistence or revision costs.

Seed

Seed title: none

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STORAGE DECISION: This is stored as a technical tool paper with high relevance to the formalization pipeline, but it does not sustain an argument about the consequences of formalization choices for protocol dynamics or artificial system behavior. Return to it only when examining how atomic-unit choices constrain later optimization pressure, or when building a mechanics of parameterized formalism itself.