可直接提交标准组织讨论的 Draft Recommendation / Working Draft，采用 Clause + SHALL / MUST / SHOULD 语言，只保留规范性约束。

Draft Recommendation

Architecture Requirements for Personalized AGI Agent Twin Brain

(Protocol-Kernel–Based Cognitive Architecture)

Status: Draft v0.9
Intended Bodies: ITU-T / ISO-IEC JTC 1 / IEEE
Category: Architecture / AI Governance / Intelligent Systems
Scope: Normative

0. Scope（范围）

This Recommendation specifies the necessary architectural requirements for any system claiming to implement a Personalized AGI Agent Twin Brain (ATB) capable of:

• Long-term identity continuity
• Personalized intent inheritance
• Auditable decision-making
• Scalable orchestration of large-scale embodied or software agents

This Recommendation does not specify implementation details, model types, or hardware platforms.

1. Terms and Definitions（术语定义）

1.1 Personalized AGI Agent Twin Brain (ATB)

A system instance bound to a specific human subject, capable of maintaining continuous cognitive identity and executing decisions on behalf of that subject across time and contexts.

1.2 Language Model Interface (LLM-UI)

A component providing natural-language interaction, explanation, and interpretation between humans and the system.

An LLM-UI SHALL NOT be considered a decision authority.

1.3 Protocol Kernel

A formal, non-linguistic system component that governs identity, decision admissibility, state transitions, and auditability, independent of language generation.

1.4 Execution Entity

Any embodied robot, software agent, or actuator executing actions authorized by the system.

2. Architectural Separation Principle（架构分离原则）

2.1 Mandatory Separation

An ATB-compliant system SHALL implement a strict separation between:

• Cognitive Governance (Protocol Kernel), and
• Natural Language Interaction (LLM-UI)

Language generation MUST NOT be the final decision authority.

3. Identity Continuity Requirement（身份连续性要求）

3.1 Persistent Identity Object

The system SHALL maintain a persistent, referenceable identity object bound to a specific subject.

3.2 Output Binding

Every decision, authorization, or action SHALL be explicitly bound to this identity object.

3.3 Session Independence

Identity continuity MUST NOT depend on conversational sessions, prompts, or transient memory.

4. Intent Representation Requirement（意图表达要求）

4.1 Structured Intent Model

User intent SHALL be represented in a structured, non-linguistic form suitable for computation, comparison, and constraint checking.

4.2 Language Translation Constraint

Natural language inputs MAY be used to express intent, but SHALL be translated into the structured intent model before any decision is made.

5. Decision Admissibility and Hard Veto（决策准入与硬否决）

5.1 Independent Boundary Function

The system SHALL implement an independent decision admissibility mechanism capable of:

• Explicitly allowing or denying proposed actions
• Operating independently of language generation outputs

5.2 System-Level Blocking

When a decision is denied, execution MUST be blocked at the system level.

Textual refusal alone SHALL NOT be considered sufficient.

6. Auditable Decision History（可审计决策历史）

6.1 Deterministic Traceability

For every critical decision, the system SHALL maintain a verifiable trace describing:

• Preceding system state(s)
• Applicable rules or constraints
• Authorization outcome

6.2 Replay Capability

The audit trace SHALL support deterministic replay for verification and accountability purposes.

7. Scalability Requirement（可扩展性要求）

7.1 Agent Orchestration

The system SHALL be capable of authorizing and coordinating large numbers of execution entities without relying on repeated natural-language regeneration.

7.2 State-Based Control

Authorization and coordination SHALL be performed via state-based or rule-based mechanisms, not conversational control loops.

8. Non-Compliance Conditions（不合规条件）

A system SHALL NOT be considered ATB-compliant if:

• Decisions are made solely by a language model, regardless of memory or tooling
• Memory retrieval replaces formal decision constraints
• Auditability relies on probabilistic or non-reproducible processes

9. Security and Governance Considerations（安全与治理）

9.1 Responsibility Binding

All authorized actions SHALL be attributable to a specific identity and governance context.

9.2 Revocation and Suspension

The protocol kernel SHALL support revocation, suspension, and rollback of decision authority.

10. Conformance（符合性）

An implementation claiming conformance to this Recommendation MUST demonstrate compliance with Clauses 3–7.

Annex A (Informative) — Architectural Rationale

This Recommendation reflects the principle that:

Language models optimize expression and interpretation, while protocol kernels govern legitimacy, continuity, and responsibility.

At large operational scales (e.g., mass deployment of embodied agents), failure to separate these roles results in non-governable systems.

Annex B (Informative) — Relation to Existing AI Systems

This Recommendation is architecture-agnostic with respect to model families, training methods, and hardware, but architecture-strict with respect to governance separation.

Final Normative Statement（一句话规范性结论）

Any system claiming to act as a personalized AGI on behalf of a human subject MUST be governed by a protocol kernel independent of language generation.