CC-B-F-Theory
Cognitive Configuration-Barrier-Field (CC-B-F) Theory
A Formal, Computable & Falsifiable Model of Subjective Reality & Affective Homeostasis Maintenance
Author: Zhenpeng Lin (Independent Researcher)
ORCID: 0009-0003-1770-2543
Date: December 21, 2025 (Version 2.0)
🧠 Core Proposition
The primary objective of a cognitive system is not “Truth Seeking” (error minimization), but Cognitive-Affective Homeostasis Maintenance.
CC-B-F reframes Cognitive Barriers (CB) as an active, bidirectional, functional information regulation system driven by the interaction of cognitive conflict (D) and emotional threat (T): D × T.
📝 Abstract
This paper proposes the “Cognitive Configuration-Barrier-Field” theory (CC-B-F) as a computable and falsifiable formal framework integrating cognitive psychology, information theory, neuroscience, and artificial intelligence.
Core innovations:
- Shift cognitive goal from “error minimization” to cognitive-affective homeostasis maintenance.
- Redefine cognitive barriers from passive noise/belief defense to active regulation protecting cognitive consistency, system resilience, and a controllable affective baseline.
The model formalizes three components:
- Cognitive Configuration (CC): Dynamic high-dimensional vector space (self-schema as origin).
- Cognitive Barrier (CB): Active gating function with D × T interaction.
- Cognitive Field (CF): Social information ecosystem measurable by entropy.
🗺️ Visual Overview
🔑 Key Components & Innovations
- Thermodynamic Basis: Entropy management in an affective field.
- Falsifiability: Computable metrics (e.g., Cognitive Barrier Strength - CBS).
- Hybrid Model vs. Predictive Coding: Bottom-up error minimization; top-down homeostasis maintenance.
- Applications: AI alignment, communication failure quantification, psychological resilience.
📄 Official Paper
Official archived version with DOI (for citation):
- 🔗 Zenodo DOI: 10.5281/zenodo.18009961
- 📥 Download Full PDF (v2.0): Direct link
- 🌐 Faster Online View (CDN): jsDelivr link
Citation (BibTeX available on Zenodo):
Lin, Z. (2025). 认知构型-壁垒-场域理论（CC-B-F）2.0. Zenodo. https://doi.org/10.5281/zenodo.18009961
📂 Repository Structure
/papers: PDF versions/images: Diagrams and mind maps/docs: Supplementary materials (coming soon)
📚 More Research by the Author (作者其他研究)
Note: The full texts of the papers listed below are currently authored in Chinese. International readers are kindly advised to use translation tools (e.g., DeepL or Google Translate) for review.
If you found the CC-B-F theory interesting, you might also like my other works on Zenodo, covering Cognitive Science, Thermodynamics, and AI Alignment. (如果您对本理论感兴趣，欢迎阅读我在 Zenodo 上的其他 13 篇论文)：
- Cognitive Color Translator (CCT) Model (认知颜色翻译器模型)
- Recursive Entropy Dynamics & Topological Phase Transition (递归熵动力学与拓扑相变)
- Purification Engine for High-Entropy Systems (高熵系统的净化引擎)
- Neural Semantic Hysteresis & Metastable Dynamics via Non-Hermitian Attention (基于非厄米注意力机制的神经语义磁滞与亚稳态动力学)
- Project Turing: Zero Cognitive Load AI Architecture (图灵计划：零认知负荷 AI 架构)
- EICM-Ω: Entropy Increase Countermeasure Model (EICM-Ω)
- Social Topological Phase Transition in High-Shear Environments (高剪切环境下的社会拓扑相变)
- Generalized Metric Variable Dynamics (广义度规变量动力学)
- Decoupled Synergy on Neural Manifolds (神经流形上的解耦协同)
- Introduction to Planetary Computing (TCN) (行星计算导论)
- Evolutionary Singularity & Semiotic Barriers (演化奇点与符号学屏障)
- Offline Backup of Civilization & Thermodynamic Compensation (文明的离线备份与热力学补偿)
- Cognitive Invasion: Memetic Weapon Defense (认知入侵)