OriginID: OOF-OID-ASGA-AEVS-SMGM-2026-07-08-0002
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Autonomous Systems Governance Architecture
(ASGA™)
Operational Layer: Autonomous Operational Governance Layer
Governed Space: Self-Modification Governance
Category: Governance & Enforcement
Subcategory: Autonomous Operational Governance
Type: Autonomous Evolution Standard Module
Parent Standard: Autonomous Evolution Standard (AEVS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 8 July 2026
Compatibility: OOF Methodology OS · GOA™ · ORA™ · AGA™ · AIG® ·
CLIA® · MGIA™
AI-Readable: Yes
Authority: OOF®
Protection: MIP™ — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Self-Modification Governance Module (SMGM) defines the structural
conditions under which autonomous operational systems may modify
their own operational capabilities while preserving governance
integrity, operational safety, accountability, and continuous
governability.

SMGM governs self-modification.

The module establishes the governance conditions required to ensure
that self-modifying autonomous systems remain authorized,
controlled, validated, and continuously governed.

Autonomous evolution may include self-modification.

Self-modification requires governance.

SMGM governs that governance.

Module Operational Role

SMGM defines the self-modification governance layer of AEVS.

Its role is to govern autonomous capability changes initiated by the
autonomous system itself.

Module Operational Space

SMGM governs:

• self-modification governance,
• autonomous self-adaptation,
• governed self-improvement,
• autonomous capability modification,
• controlled autonomous evolution,
• self-change authorization,
• governed operational adaptation,
• trustworthy self-modification.

Module Function

The module applies wherever autonomous operational systems are
capable of modifying their own operational behavior, decision logic,
parameters, or capabilities.

Minimum Implementation Framework

1. Define the Self-Modification Object

Identify which autonomous capabilities may perform
self-modification.

2. Define Self-Modification Conditions

Establish governance conditions governing when and how
self-modification is permitted.

3. Define Self-Modification Failure Logic Identify conditions where
self-modification becomes unauthorized, unsafe, uncontrolled,
unverifiable, or governance- invalid.

4. Define Governance Response

Define governance actions for approval, restriction, rollback,
escalation, suspension, or additional validation.

5. Preserve Self-Modification Traceability

Preserve self-modification requests, governance decisions,
operational evidence, modification history, and supporting
documentation.

Use Case 1 — Autonomous Industrial Robot

Scenario

An autonomous production robot identifies an opportunity to improve
its task execution efficiency.

Application

SMGM governs whether the proposed self-modification satisfies
predefined governance conditions before implementation.

Result

Operational improvement remains controlled, validated, and
governance-approved.

Use Case 2 — Enterprise Autonomous AI Agent

Scenario

An autonomous AI agent proposes modifications to its workflow
optimization strategy based on operational experience.

Application

SMGM evaluates the proposed self-modification according to
governance rules before activation.

Result

The organization preserves safe, accountable, and continuously
governed autonomous evolution.

Canonical Closing Statement

Governable evolution requires governable self-modification.
Self-Modification Governance ensures that autonomous operational
systems improve themselves only through authorized, controlled,
traceable, and continuously governed evolution.

→ Autonomous Evolution Standard (AEVS)