A simulation demonstrating that recursive intelligence vastly outperforms scalar IQ under collapse and drift. Based on the paper “Recursion vs. IQ: Toward a Multi-Scale Model of Intelligence v2.0

Adaptive Intelligence Framework (AIF) formalizes intelligence as a boundary-regulated adaptive process. Grounded in SymC principles, it studies how systems maintain coherence under uncertainty through constraint negotiation, regulation, and phase transitions - focusing on adaptive stability rather than benchmark optimization or ML scaling.

🔄 Discover how oscillations emerge as a mathematical necessity in complex systems. A rigorous framework proving C+A=1 with 10^-16 precision. 📊 Visualize adaptability landscapes & spectral fingerprints.

Public theoretical publication of the Contextual Premise Framework (CPF). Includes the structural paper, dP/dt model, and ADR circulation framework. No internal or adaptive models included.　　Contextual Premise Framework（CPF）の公開理論セット。 構造モデル、dP/dtモデル、ADR循環モデルの3部から構成。 内部構造や適応モデルは含まれません。

🔄 Discover how oscillations emerge as a mathematical necessity in complex systems. A rigorous framework proving C+A=1 with 10^-16 precision. 📊 Visualize adaptability landscapes & spectral fingerprints.

《基因集碳基生物机器人化秩序工程》（作者： 002）

Theory of Information Speed: Proving that the speed of light (c) is a constraint of the electromagnetic information channel, not a universal physical limit. Includes 8 fundamental insights, mathematical formalization, experimental predictions, and Python simulation library.

T. Gelderbloem - Oct2025