Phase Mirror Dissonance Methodology for Agentic AI Governance and Organizational Diagnostics

Phase Mirror Dissonance (PMD) is a defensive publication that establishes prior art for a practical methodology to surface and resolve contradictions in organizational systems, with a primary application to agentic AI governance. It formalizes a repeatable diagnostic loop and a callable “Mirror Dissonance Oracle” protocol intended to make governance enforceable, auditable, and interoperable across implementations.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-26
DOI
https://doi.org/10.5281/zenodo.18407312
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00
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article

Phase Mirror Dissonance Methodology for Agentic AI Governance and Organizational Diagnostics

Ryan Van Gelder
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

Phase Mirror Dissonance Methodology for Agentic AI Governance and Organizational Diagnostics

Ryan Van Gelder
article en

Abstract

Phase Mirror Dissonance (PMD) is a defensive publication that establishes prior art for a practical methodology to surface and resolve contradictions in organizational systems, with a primary application to agentic AI governance. It formalizes a repeatable diagnostic loop and a callable “Mirror Dissonance Oracle” protocol intended to make governance enforceable, auditable, and interoperable across implementations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 76%
Multi-Agent Systems and Negotiation
DOIOpen Access PDFOpenAlex
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Phase Mirror Dissonance Methodology for Agentic AI Governance and Organizational Diagnostics — Ryan Van Gelder · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS