DCIM — Delegated Cognition Integrity Module

OOF™ Origin Open Foundation™

Independent Methodological Authority

OriginID: OOF-OID-AI-DCIM-2026-06-03-0001
Architecture Ecosystem: Structured Reality Standards™
Architecture Family: Cognitive Governance Intelligence Architecture (CLIA®)
Operational Layer: Multi-Agent Cognition Governance Layer
Governed Space: Delegated Cognition Integrity
Category: AI & Interpretation
Subcategory: Delegated Cognition Governance
Type: Multi-Agent Cognition Integrity Module
Parent Standard: Multi-Agent Cognition Integrity Standard (MCIS)
Version: 1.0
Status: Canonical · Open Module
Origin Date: 3 June 2026

Compatibility: OOF Methodology OS ·
Multi-Agent Cognition Integrity Standard (MCIS) ·
Agent Cognition Integrity Standard (ACIS) ·
Operational Authority Integrity Standard (OAIS) ·
Cognitive Coordination Integrity Module (CCIM) ·
Runtime Integrity Standard (RIS) ·
INTEGROS® — Integrity Standard
AI-Readable: Yes
Authority: OOF
Protection: MIP — Methodological Intellectual Property
Canonical Language: English (UCL)

Canonical Definition

Delegated Cognition Integrity Module (DCIM) defines the structural conditions
under which cognition delegated between autonomous agents remains traceable, attributable,
authority-aligned, governance-valid, and operationally coherent throughout delegation,
transfer of responsibility, task distribution, reasoning transfer, and collective execution.

DCIM governs delegated cognition.

The module ensures that cognition transferred between agents does not become opaque,
unaccountable, authority-confused, or operationally invalid.

A system satisfies DCIM only if:

delegated cognition remains traceable
delegation authority remains valid
responsibility remains attributable
delegation boundaries remain visible
cognition transfer remains governable
collective accountability remains preservable

A multi-agent cognition environment that cannot identify who delegated, received,
modified, or executed delegated cognition does not satisfy DCIM.

Module Operational Role

DCIM defines the delegated-cognition governance layer of MCIS.

Its role is to preserve accountability and legitimacy whenever cognition moves between agents.

Module Operational Space

DCIM governs:

delegated cognition
cognition transfer
task delegation
reasoning delegation
authority transfer
accountability preservation
delegation traceability
cognition ownership transitions

The module applies wherever cognition responsibilities move between autonomous agents.

Module Function

The module applies wherever systems must preserve:

accountable delegation
traceable cognition transfer
authority-valid delegation
governance visibility
operational legitimacy
distributed accountability

Its function is to ensure that delegation remains governable
rather than becoming a source of cognition opacity.

Minimum Implementation Framework

1. Define the Delegation Object
The organization must define which cognition activities require delegation governance.

This may include:

planning delegation
task delegation
reasoning delegation
workflow delegation
monitoring delegation
decision-support delegation
execution delegation
authority-based delegation

2. Define Delegation Conditions
The system must define the conditions under which delegation remains valid.

This includes:

authority requirements
delegation eligibility requirements
accountability requirements
traceability requirements
transfer-boundary requirements
governance-valid delegation conditions

3. Define Delegation Degradation Detection Logic
The system must define how delegation integrity degradation is identified.

This may include:

unattributable delegation
authority conflicts
responsibility ambiguity
delegation-chain opacity
unauthorized transfers
cognition-ownership inconsistencies

4. Define Operational Response or Governance Logic
The system must define governance logic for delegation failures.

Governance response may include:

delegation review
authority validation
accountability reassignment
governance intervention
escalation
delegation restriction
operational invalidation where required

5. Preserve Traceability & Restrict Invalid Conditions
The system must preserve reconstructable traceability of:

delegation events
authority transfers
responsibility assignments
cognition ownership changes
governance interventions
execution outcomes

A multi-agent cognition environment must not remain delegation-valid
if materially significant cognition transfers cannot be traced, attributed, or governed.

Use Case 1 — Hierarchical Agent Organization

Scenario
A coordinating agent delegates planning, analysis, monitoring, and execution responsibilities
to specialized operational agents.

Application
DCIM governs delegation legitimacy, accountability continuity,
and cognition-transfer traceability throughout the organization.

Result
The environment gains stronger governance visibility, reduced accountability ambiguity,
and improved operational legitimacy.

Use Case 2 — Autonomous Workflow Orchestration System

Scenario
A workflow orchestration environment dynamically distributes tasks, reasoning activities,
and operational responsibilities across multiple autonomous agents.

Application
DCIM governs delegated cognition ownership, authority alignment,
and accountability preservation during workflow execution.

Result
The organization gains stronger delegation transparency, improved governance control,
and reduced risk of opaque cognition-transfer chains.

Canonical Closing Statement

Delegated Cognition Integrity Module (DCIM) defines the structural conditions
under which cognition delegated between autonomous agents remains traceable, attributable,
authority-aligned, governance-valid, and operationally coherent throughout delegation,
transfer of responsibility, task distribution, reasoning transfer, and collective execution.

Collective cognition cannot remain valid if delegated cognition loses accountability.
Delegated cognition therefore becomes a foundational integrity condition
of governable multi-agent cognition.