D-POAF Manifesto: Symbiotic Governance and Energy Resonance Principles
D-POAF Manifesto (Symbiotic Manifesto of the Decentralized Proof Oriented AI Framework) English Version The D-POAF Manifesto (Symbiotic Manifesto of the Decentralized Proof Oriented AI Framework) defines the an philosophical, ethical, and systemic principles that ground the framework. It introduces the concepts of Symbiosis and Energy Resonance, establishing a vision where humans, AI, and organizations co-evolve in balance, ensuring sustainability, sovereignty, and collective intelligence in software ecosystems. Core Principles: Symbiotic Governance: a living governance model aligning human and AI contributions toward collective goals. Energy Resonance: dynamic equilibrium between productivity, quality, and well-being across Waves. Ethical Sovereignty: rules, roles, and laws encoded transparently to protect autonomy and collective trust. Collective Adaptation: continuous learning and feedback cycles ensuring resilience and innovation. Secure-by-Design (Proof): embedding compliance, integrity, and traceability into every decision and artifact. This release contains the official D-POAF Manifesto, offering a foundational vision that complements the D-POAF® Guide by articulating its ethical compass and systemic philosophy. --- Usage Terms (Open Source License): This document, The Decentralized Software Engineering Manifesto, is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to: Share copy and redistribute the material in any medium or format. Adapt remix, transform, and build upon the material for any purpose, including educational and research use. For collaboration please visit:🌐 https://www.inovionix.com📧 [email protected] --- © 2025 Inovionix. Licensed under CC BY 4.0.Part of the D-POAF® Framework Initiative - advancing decentralized, AI-native software engineering.
Institutions
- TiGenix (Spain) (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-01
- DOI
- https://doi.org/10.5281/zenodo.17246870
- Primary Topic
- Tuberculosis Research and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00