Governance Rules Theory: Rule Lifecycle, Consistency Measurement, and Safe Withdrawal Conditions in Multi-Agent Systems

Governance Rules Theory specifies a candidate framework for recursive rule governance across agents, groups, and groups of groups. It connects rule formation, validation, revision, and retirement to evidence for reduced oversight and bounded re-engagement. Version 2.0 defines rule-status constraints, compatibility and unaided-recovery measurements, five-condition withdrawal gates, and a phased oversight procedure. Its principal hypothesis concerns reliability and oversight cost relative to matched adaptive-assurance alternatives. Revised metric normalization and decision logic replace unreproducible illustrative results with prospective evaluation designs. Historical comparative predictions remain unconfirmed, and external mechanism analogues do not validate the complete framework.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22676737
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00
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article

Governance Rules Theory: Rule Lifecycle, Consistency Measurement, and Safe Withdrawal Conditions in Multi-Agent Systems

Bin Seol
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

Governance Rules Theory: Rule Lifecycle, Consistency Measurement, and Safe Withdrawal Conditions in Multi-Agent Systems

Bin Seol
article en

Abstract

Governance Rules Theory specifies a candidate framework for recursive rule governance across agents, groups, and groups of groups. It connects rule formation, validation, revision, and retirement to evidence for reduced oversight and bounded re-engagement. Version 2.0 defines rule-status constraints, compatibility and unaided-recovery measurements, five-condition withdrawal gates, and a phased oversight procedure. Its principal hypothesis concerns reliability and oversight cost relative to matched adaptive-assurance alternatives. Revised metric normalization and decision logic replace unreproducible illustrative results with prospective evaluation designs. Historical comparative predictions remain unconfirmed, and external mechanism analogues do not validate the complete framework.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Multi-Agent Systems and Negotiation
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