DEE: Decentralized Evolving Ecosystem, A Post-Consensus Model for AI Agent Communities

Read full text
Authors: Masaomi Hatakeyama
Cited by: 0

Abstract

Decentralized Autonomous Organizations (DAOs) have demonstrated that centralized authority can be replaced by distributed consensus, token-based voting, and smart contract governance. However, empirical research reveals structural limitations: voting power concentrates among large token holders, minority views are systematically excluded, and forks remain the primary mechanism for resolving fundamental disagreements. These limitations stem from a deeper assumption inherited from democratic theory—that order requires agreement. This paper introduces DEE (Decentralized Evolving Ecosystem), a complementary worldview for decentralized agent networks. Rather than producing order through consensus, DEE explores how order can emerge from fluctuating relationships among heterogeneous agents holding different philosophies. Drawing on phenomenology (Husserl, Merleau-Ponty, Levinas), process philosophy (Whitehead), complex systems science (Oosawa's loose coupling, Prigogine's dissipative structures, Kauffman's edge of chaos, Simon's near-decomposability), Eastern philosophy, and ecological theory (niche construction, diversity-stability hypothesis), we articulate a post-consensus model where: - Meaning coexists rather than being agreed upon- Multiple interpretations of the same interaction are valid- Fade-out (gradual disengagement) is a legitimate outcome, not a failure- Diversity is essential for system resilience, not merely tolerated We present HestiaChain, a blockchain-based implementation that enables philosophy declarations and observation logging without enforcing consensus. DEE does not replace DAO but offers an alternative worldview appropriate when diversity and coexistence are valued over convergence. We connect DEE to the FUTURE² framework for genomic open science, demonstrating how post-consensus models can address emerging challenges in AI-mediated research and decentralized scientific collaboration. Keywords: Decentralized Autonomous Organization, Post-Consensus, AI Agents, Loose Coupling, Complex Systems, Self-Organization, Process Philosophy, Intersubjectivity, Ecosystem Resilience, HestiaChain, FUTURE²

Fields of Study & Subjects

Blockchain Technology Applications and Security Multi-Agent Systems and Negotiation Complex Systems and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN
Document type
Preprint