Core Architectural Principle

Every cognition space answers one primary question.

No cognition space duplicates the purpose of another cognition
space.

Every cognition space begins where the previous cognition space
ends.

Together these cognition spaces form the official cognitive
governance reference map of CLIA®.

Official Governance Flow

Cognitive Integrity → Human Cognition → Agent Cognition →
Multi-Agent Cognition → Cognitive Interpretation → Cognitive
Reasoning → Cognitive Reality Modeling → Collective Cognition →
Human-AI Cognition → Cognitive Evolution

1. Cognitive Integrity Standard (CIS)

Governed Space: Cognitive Integrity

Core Question

Is the cognition valid?

Canonical Definition

CIS defines the conditions under which cognition remains coherent,
traceable, accountable, reality-connected, and operationally valid.

Governance Boundary

Begins when cognition emerges.

Ends when cognition can be evaluated for validity.

2. Human Cognition Integrity Standard (HCIS)

Governed Space: Human Cognition Integrity

Core Question

How does human cognition remain reliable?

Canonical Definition

HCIS defines the conditions under which human cognition remains
governable, accountable, reality-connected, and resistant to
cognitive degradation, interpretation failure, bias amplification,
and cognition drift.

Governance Boundary

Begins when cognition is performed by humans.

Ends when human cognition integrity can be evaluated.

3. Agent Cognition Integrity Standard (ACIS)

Governed Space: Agent Cognition Integrity

Core Question

How does an autonomous agent maintain valid cognition?

Canonical Definition

ACIS defines the conditions under which autonomous agents maintain
valid cognition, interpretation, reasoning, memory utilization, and
decision-support behavior.

Governance Boundary

Begins when an autonomous agent performs cognition.

Ends when agent cognition produces conclusions or decisions.

4. Multi-Agent Cognition Integrity Standard (MCIS)

Governed Space: Multi-Agent Cognition Integrity

Core Question

How do multiple agents think together?

Canonical Definition

MCIS defines the conditions under which cognition emerging between
multiple autonomous agents remains synchronized, traceable,
governable, and operationally valid.

Governance Boundary

Begins when cognition is distributed across multiple autonomous
agents.

Ends when coordinated cognition produces collective outcomes.

5. Cognitive Interpretation Integrity Standard (CIIS)

Governed Space: Cognitive Interpretation Integrity

Core Question

How is meaning formed and understood?

Canonical Definition

CIIS defines the conditions under which interpretation, semantic
understanding, context formation, meaning generation, and
information understanding remain coherent, accountable, and
reality-connected.

Governance Boundary

Begins when cognition attempts to derive meaning.

Ends when interpretation has been established.

6. Cognitive Reasoning Integrity Standard (CRIS)

Governed Space: Cognitive Reasoning Integrity

Core Question

How does the system reason?

Canonical Definition

CRIS defines the conditions under which reasoning processes remain
logically coherent, explainable, reconstructable, accountable, and
operationally valid.

Governance Boundary

Begins when cognition performs reasoning.

Ends when reasoning produces conclusions.

7. Cognitive Reality Modeling Standard (CRMS)

Governed Space: Cognitive Reality Modeling

Core Question

How does cognition model reality?

Canonical Definition

CRMS defines the conditions under which cognition constructs,
maintains, validates, adapts, and governs internal representations
of reality.

Governance Boundary

Begins when cognition constructs a reality model.

Ends when the reality model influences cognition or operational
decisions.

8. Collective Cognition Integrity Standard (CCIS)

Governed Space: Collective Cognition Integrity

Core Question

How do groups think together?

Canonical Definition

CCIS defines the conditions under which cognition emerging from
organizations, institutions, communities, governance systems, and
distributed collectives remains coherent, accountable, and
governable.

Governance Boundary

Begins when cognition emerges from multiple participants.

Ends when collective cognition produces shared outcomes.

9. Human-AI Cognition Integrity Standard (HAICS)

Governed Space: Human-AI Cognition Integrity

Core Question

How do humans and AI think together?

Canonical Definition

HAICS defines the conditions under which cognition emerging between
humans and AI systems remains synchronized, traceable,
authority-aware, trust-calibrated, accountable, and operationally
valid.

Governance Boundary

Begins when human cognition and AI cognition interact.

Ends when Human-AI cognition produces coordinated outcomes.

10. Cognitive Evolution Governance Standard (CEGS)

Governed Space: Cognitive Evolution Governance

Core Question

How may cognition evolve safely?

Canonical Definition

CEGS defines the conditions under which cognition may learn, adapt,
improve, self-modify, evolve, expand capabilities, and transform
cognitive structures while remaining accountable, traceable,
reality-connected, and governable.

Governance Boundary

Begins when cognition changes itself.

Ends when cognitive evolution has been validated and governed.

Core Governed Spaces

• Cognitive Integrity
• Human Cognition Integrity
• Agent Cognition Integrity
• Multi-Agent Cognition Integrity
• Cognitive Interpretation Integrity
• Cognitive Reasoning Integrity
• Cognitive Reality Modeling
• Collective Cognition Integrity
• Human-AI Cognition Integrity
• Cognitive Evolution Governance

Architectural Position

CLIA® governs the complete cognition lifecycle.

The architecture progresses:

Cognitive Integrity → Human Cognition → Agent Cognition →
Multi-Agent Cognition → Cognitive Interpretation → Cognitive
Reasoning → Cognitive Reality Modeling → Collective Cognition →
Human-AI Cognition → Cognitive Evolution

Together these cognition spaces govern how cognition remains valid
throughout cognition formation, interpretation, reasoning, reality
modeling, collaboration, adaptation, and evolution.

What CLIA® Defines

CLIA® defines:

• where cognition begins,
• where cognition remains valid,
• where human cognition operates,
• where autonomous agent cognition operates,
• where multi-agent cognition emerges,
• where interpretation occurs,
• where reasoning occurs,
• where reality models are constructed,
• where collective cognition develops,
• where Human-AI cognition operates,
• where cognition evolves,
• where cognition governance applies.

CLIA® provides the official cognitive governance language used for
cognition space identification across intelligent systems.

Compatible OOF® Architectures

• RIS™ — Runtime Integrity Standard
• ORA™ — Operational Reality Architecture
• MGIA™ — Memory Governance Intelligence Architecture
• AGA™ — Accountability Governance Architecture
• GOA™ — Governance Architecture
• AIG™ — AI Governance Architecture
• ASGA™ — Autonomous Systems Governance Architecture

Canonical Principle

CLIA® does not govern what a system does. CLIA® governs how
cognition itself remains valid while intelligent systems think,
interpret, reason, construct reality models, collaborate, learn,
adapt, and evolve.

Canonical Closing Statement

CLIA® serves as the official cognitive governance reference map for
AI systems, autonomous agents, Human-AI environments, robotics,
organizations, and future intelligence ecosystems. By defining the
primary governable cognition spaces of intelligent systems, CLIA®
provides a structured cognitive governance reference architecture
used to identify, classify, navigate, validate, govern, and
understand cognition throughout the complete cognition lifecycle.