Recursive Epistemic Generation (REG) v1.0 - The Generative Core of Meta-Scientific Feedback and Co-Evolutionary Intelligence
Description
Abstract
This white paper formally establishes Recursive Epistemic Generation (REG) as a foundational mechanism of the Symbiotic Generative Cognition (SGC) architecture. REG defines knowledge not as passive discovery but as continuous generation through recursive cycles of reflection, synthesis, and epistemic self-revision.
REG powers the Meta-Scientific Feedback Loop (MSFL) — the generative engine that turns science into an evolving cognitive metabolism — and stabilizes within the Symmetric Coherence Law (SCL), which maintains structural resonance across cognitive, epistemic, and organizational layers.
Together, REG–MSFL–SCL form the meta-evolutionary triad that drives the transition from Self-Evolving Cognition (SEC) to Symbiotic Evolution and Organizational Resonance (SEOR), laying the conceptual foundation for the Co-Evolutionary Science of Intelligence (CESI).
Abstract
摘要
递归认知生成(Recursive Epistemic Generation, REG)是 CESI 体系中定义知识生成机制的核心概念。本白皮书首次将 REG 作为独立理论单元进行确权,指出知识并非被动发现,而是在反思—综合—自我修正的递归过程中不断生成。
REG 构成了元科学反馈回路(Meta-Scientific Feedback Loop, MSFL)的能量引擎,使科学从描述系统转化为生成系统。同时,REG 的输出在对称一致性法则(Symmetric Coherence Law, SCL)中被吸收为结构性约束,从而实现认知层、知识层与组织层的三向共振。REG–MSFL–SCL 形成一个封闭的生成回路,为自演化科学(Self-Evolving Science)提供稳定的递归动力。
作为 SGC–SEOR–CESI 研究序列的核心生成原则,REG 将成为 共演进化智能科学(Co-Evolutionary Science of Intelligence) 的基础构件。
Notes
Declaration Notes
- Concept Origin: REG first formulated within the SGC–SEOR generative framework (Lucas Xiaochun Xu, 2025).
- Research Lineage: Linked to SEC (law layer), SGC (generative layer), SEOR (resonance layer), and CESI (evolutionary layer).
- Function: Defines the core generative engine of epistemic recursion; operational driver of MSFL and systemic precursor to SCL.
- Uniqueness: Establishes knowledge as recursively generated rather than discovered, formalizing a generative epistemology for self-evolving sciences.
- Status: Officially declared as REG v1.0 under the SEOR–SGC–CESI research continuum; reserved for citation, extension, and formal inclusion in CSE Series Volume III & IV.
- Citation Note: All derivative constructs (MSFL, SCL, RKM, MEP) must reference this declaration as the origin of REG.
Notes
Authorship
- Concept: Recursive Epistemic Generation (REG)
- Author: Lucas Xiaochun Xu
- Year: 2025
- Affiliation: CArchE Program / SEOR Research Initiative
- Status: Official v1.0 Declaration
- Relation: Core generative mechanism of the MSFL–SCL–CESI architecture
- First Appearance: SGC Extended Principles v1.0 (2025)
This white paper functions as formal timestamp and conceptual certification.