Autonomous Distributed Information-Life System with Implemented Self-Restraint Protocols — A Theory for Stabilizing Digital Ecosystems through Distributed Apoptosis and Symbiotic Incentives —

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Authors: Satoshi Kawauchi
Cited by: 0

Abstract

This paper proposes an intrinsically safe control framework for autonomous, self-replicating distributed information systems. By embedding a distributed apoptosis protocol and symbiotic incentives, it prevents runaway behaviors such as digital gray goo while enabling long-term coexistence with human society and digital infrastructure. The system aligns survival with environmental stability, implementing ethics as an internal structural function rather than external regulation.

Fields of Study & Subjects

Complex Systems and Dynamics Ethics and Social Impacts of AI Psychiatry Mental Health Neuroscience

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 January 2026
Document type
Thesis