Neo-Humanism: A Comprehensive Computational Framework for Post-Scarcity Governance, Restorative Justice, and Meritocratic Resource Distribution

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Authors: RIYAD SHIKDER
Cited by: 0

Abstract

Abstract Background: In the 21st century, the rapid advancement of automation and Artificial Intelligence (AI) has significantly increased production efficiency while paradoxically reducing human employment opportunities. This phenomenon poses a fundamental challenge to traditional capitalist and democratic systems, which rely heavily on labor-for-income models. Objective: This paper proposes a comprehensive socio-economic ecosystem titled "Neo-Humanism." The primary objective is to transition humanity from a 'Survival Mode'—driven by scarcity—to a mode of 'Creative Contribution,' facilitated by a post-scarcity architectural framework. System Architecture: The proposed model is founded on three pillars: Economic: Replacement of fiat currency with a 'Contribution Index' (CI) and a three-tier 'Global Resource Distribution Protocol' (GRDP). Social: Implementation of a four-stage education system termed 'Talent Harvesting'. Judicial: Establishment of a restorative justice system managed by the 'Harmony Wing'. Methodology: Using theoretical simulations and mathematical modeling (Agent-Based Modeling), this study demonstrates how the proposed system mitigates the tendency for resource hoarding and ensures sustainable development through algorithmic governance. Conclusion: Neo-Humanism is presented not merely as a sociological theory but as an evolutionary roadmap aiming to establish a cohesive, lack-free world by the year 2050. ৪. Keywords Section (এই বক্সে নিচের শব্দগুলো এক এক করে টাইপ করে এন্টার দিন অথবা কপি-পেস্ট করুন) Neo-Humanism Post-Scarcity Economy Contribution Index (CI) Global Resource Distribution Protocol (GRDP) Restorative Justice Algorithmic Governance Meritocracy Social Engineering

Fields of Study & Subjects

Ethics and Social Impacts of AI Economic Theory and Institutions Economic and Social Issues

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026