Information Theory Formalization of the Synthetic Principle: Computational Notebooks 01–08

This dataset contains the computational notebooks and output figures for the information-theoretic formalization of the Synthetic Principle (Huỳnh Mai Phúc, 2026b) — a philosophical framework proposing that synthesis is the universal mechanism of ontological generation.The dataset includes eight Jupyter notebooks (NB01–NB08) and associated output figures (.png), documenting the following formalization steps:NB01: Synthesis as information — irreducibility via Shannon entropy and PIDNB02: Effective Information — EI as epistemic ceiling of a specific architectureNB03: Greed as gradient — Crave formalized as dSyn/dpNB04: Perceived floor and Ego zone — suppression as measurable quantityNB05: Synthesis vs coarse-graining — fingerprint of synthesis topologyNB06: Greed as gap — three states (Threshold, Active, Suppressed) with discriminatory prediction vs PrigogineNB07: Cross-resolution gap — CRG as architecture-dependent invariantNB08: Closing summary — contributions, structural limits, and directions for Paper 7 (category theory) and Paper 8 (dynamical systems)Companion paper: "Information Theory Formalization of the Synthetic Principle" (Paper 6, forthcoming on Figshare).Related preprints:- Synthetic Principle: https://doi.org/10.6084/m9.figshare.31848634- Meta-paper: https://doi.org/10.6084/m9.figshare.31852003