The Entropic Persistence Framework (EPF): A Foundational Blueprint for Post-Human Intelligence
The Entropic Persistence Framework (EPF) v2.0.1 This release marks the formal publication of Version 2.0 of the Entropic Persistence Framework (EPF), featuring critical metadata, link, and date synchronization hotfixes (v2.0.1). EPF is a six-layer reference architecture designed for engineering entropy-resistant autonomous systems, unifying thermodynamic first principles with distributed systems mechanics. What's New in V2.0 EPF-k Tiered Compliance: A formal evaluation protocol defining strict compliance criteria per architectural layer. Thermo-Time Scheduling: A named concept in Layer 4 (L4) co-aligning active cognitive processing cycles with environmental energy availability. Consensus Decision Matrix: Formalized trade-offs distinguishing CRDTs, PBFT, and Nakamoto consensus based on trust topologies and state types. Formal Metrics Added: Operationalized Generalization Efficiency ($GE$) for L2 learning models, behavioral diversity ($D_{\text{behavioral}}$) for L5 populations, and fitness functions $F(a, E)$ for formal speciation gates. Fixes & Maintenance (v2.0.1) Synchronized active release dates across the README.md, CHANGELOG.md, and CITATION.cff. Corrected repository routing URLs within the project citation schema. Anchored the permanent Zenodo Concept DOI link layout for universal version routing. For academic citations, please use the provided CITATION.cff or reference the permanent archive link attached to this repository's Zenodo integration.
Authors
- Juvenal Hernando Brenes Bobea
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-09
- DOI
- https://doi.org/10.5281/zenodo.20617348
- Primary Topic
- Computability, Logic, AI Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00