Canonical Definition

Autonomous Systems Governance Architecture™ is the governance
architecture that defines the structural conditions under which
autonomous operation remains identifiable, authorized, executable,
constrained, trustworthy, coordinated, accountable, compatible,
evolvable, and continuously governable across complex autonomous
operational ecosystems.

Core Question

How can autonomous systems remain continuously governable while
operating independently throughout the complete autonomous
operational lifecycle?

Governance Flow

Identity → Authority → Execution → Constraints → Risk & Trust →
Coordination → Escalation → Accountability → Compatibility →
Evolution

Core Parent Standards

1. Autonomous Identity Standard (AIS)

Governed Space: Autonomous Operational Identity

Core Question: Who is the autonomous operational actor?

2. Autonomous Authority Standard (AAS)

Governed Space: Autonomous Operational Authority

Core Question: Who has authority to perform autonomous operations?

3. Autonomous Execution Standard (AES)

Governed Space: Autonomous Execution

Core Question: What autonomous actions may be executed?

4. Autonomous Constraint Standard (ACS)

Governed Space: Autonomous Operational Constraints

Core Question: Which operational constraints may never be violated?

5. Autonomous Risk & Trust Standard (ARTS)

Governed Space: Autonomous Operational Risk & Trust

Core Question: What level of operational risk and trust is
acceptable?

6. Autonomous Coordination Standard (ACOS)

Governed Space: Autonomous Operational Coordination

Core Question: How do autonomous systems coordinate operations?

7. Autonomous Escalation Standard (AESS)

Governed Space: Autonomous Operational Escalation

Core Question: When and how should autonomous operation escalate?

8. Autonomous Operational Accountability Standard (AOAS)

Governed Space: Autonomous Operational Accountability

Core Question: How is accountability preserved throughout autonomous
operation?

9. Autonomous Compatibility Standard (ACPS)

Governed Space: Autonomous Operational Compatibility

Core Question: How do autonomous systems remain operationally
compatible?

10. Autonomous Evolution Standard (AEVS)

Governed Space: Autonomous Evolution Core Question: How may
autonomous systems evolve while remaining governable?

Compatible OOF® Architectures

ASGA™ interoperates with multiple OOF® architectures governing
complementary operational spaces.

GOA™ — Governance Architecture provides the constitutional
governance layer defining how governance itself is established,
delegated, validated, protected, and coordinated.

ORA™ — Operational Reality Architecture governs operational reality,
operational validity, operational authority, operational evidence,
and operational continuity throughout execution.

AGA™ — Accountability Governance Architecture governs accountability
relationships, ownership, delegation, attribution, and
responsibility across autonomous operational environments.

AIG® — AI Governance Architecture governs AI behavior, behavioral
integrity, explainability, transparency, and trustworthy AI
decision-making.

CLIA® — Cognitive Governance Intelligence Architecture governs
cognition, reasoning, interpretation, cognitive integrity, and
cognitive decision processes supporting autonomous operation.

MGIA™ — Memory Governance Intelligence Architecture governs memory
continuity, memory integrity, traceability, retention, and governed
operational memory throughout autonomous execution.

RIS™ — Runtime Integrity Standard provides the runtime integrity
layer supporting trustworthy execution across autonomous operational
environments.

Architectural Position

ASGA™ governs the complete autonomous operational lifecycle.

The architecture progresses through:

Autonomous Identity → Autonomous Authority → Autonomous Execution →
Autonomous Constraints → Autonomous Risk & Trust → Autonomous
Coordination → Autonomous Escalation → Autonomous Operational
Accountability → Autonomous Compatibility → Autonomous Evolution

Together these standards govern how autonomous systems establish
identity, receive authority, execute operations, remain within
operational constraints, manage operational risk, coordinate with
other systems, escalate exceptional situations, preserve
accountability, maintain compatibility, and evolve while remaining
continuously governable.

Canonical Principle

ASGA™ does not govern what autonomous systems are intended to
achieve. ASGA™ governs whether autonomous operation remains
identifiable, authorized, constrained, trustworthy, coordinated,
accountable, compatible, evolvable, and continuously governable
throughout the complete autonomous operational lifecycle.