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D 巨人方舟通用模型层

1. Scope

layer_id: D
function: upgrade Giant Cognition 2.0 into Giant Ark as a formal general model
primary_nodes: D1, D2, D3, D4, D5, D6

巨人方舟 是正式模型名。模型建成后，原 巨人认知 2.0 下线。

2. Model Definition

巨人方舟是一套以认知主权为核心、以现实反馈为校准、以行动实验为生成、以身心底盘和环境审计为约束的通用认知治理架构。

3. Confirmed Components

D1 巨人认知 2.0 -> 巨人方舟:
  formal replacement and upgrade

D2 GL0:
  body regulation, emotional tolerance, nervous-system state

D3 GL-R:
  relationship/environment layer; prevents social-system waste heat from being internalized as personal fault

D4 GL3:
  QPI as problem-representation tool

D5 GL4:
  metacognition as coordinator, not dictator

D6 intention-action-feedback loop:
  Reality Lab as action module

4. Source Material Layer

Primary blocks:

block_id	role
R04-B001	Giant Cognition / upgrade entry
R04-B002	model transition material
R04-B003	CBT and theories as modules
R04-B004	GL0 need through self-blame/vulnerability
R04-B005	ACT placement inside architecture
R04-B006	tolerance window and body-state checks
R04-B007	explicit upgrade requirements
R05-B001	formalization entry
R05-B003	Giant Ark definition
R06-B003	action timing and guardrails

Cross-links:

C4: methodology scheduling
E3: concrete-domain model calling

5. Distortion Guard

Do not split Giant Cognition, Giant Ark, and Reality Lab into peer models. The confirmed relation is:

Giant Cognition 2.0 -> Giant Ark formal model
Reality Lab -> action module inside intention-action-feedback

6. Material Extraction

material_id	source_blocks	type	extracted material	downstream use
D-M01	R04-B007, R05-B003	model upgrade	Giant Ark upgrades Giant Cognition 2.0 by adding GL0 regulation, GL-R environment, action experiment, feedback calibration, and GL4 limitation.	Giant Ark spec
D-M02	R04-B004, R04-B006	GL0 material	The model must check body regulation, emotional tolerance, nervous-system state, and tolerance window before high-level cognition takes command.	GL0 design
D-M03	R04-B003, R04-B005	method library	CBT, ACT, and related theories are modules called by the architecture, not architectures that own the whole problem.	theory-calling policy
D-M04	R05-B003	formal definition	Giant Ark is a general cognitive governance architecture centered on cognitive sovereignty, reality feedback, action experiment, bodily/emotional base, and environment audit.	canonical definition
D-M05	R05-B002, R05-B005	application value	The methodology discussion defines why Giant Ark matters: it decides which theory/model/tool enters which layer under which trust conditions.	model-card value proposition
D-M06	R06-B003, R07-B003	action module	Reality Lab belongs inside intention-action-feedback: it turns explanation into small, reversible, observable experiments.	action protocol
D-M07	R02-B003, R03-B004	layer discipline	Dominant layer and metacognitive limits must be identified before intervention; GL4 coordinates, it does not dominate.	layer-selection rule

7. Reusable Claims

- Giant Ark replaces Giant Cognition 2.0 as the formal model once completed.
- A general model earns application value only if it can call concrete theories and local models without being captured by them.
- Reality feedback is not an afterthought; it is the mechanism that turns explanation into intervention.

8. Open Use Notes

This layer is ready for a downstream Giant Ark formal model specification. It still needs a dedicated model-card pass before canonical publication.

3.8 KiB Raw Blame History