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Preprint . 2026
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Myceloom: The Artificial Intelligence of Living Networks

The Myceloom Protocol (Part 4 of 8)
Authors: Jefferson, Josie; Velasco, Felix;

Myceloom: The Artificial Intelligence of Living Networks

Abstract

Abstract: While silicon-based neural networks dominate contemporary AI discourse, the most sophisticated information processing systems on Earth are biological. Mycelial networks—fungal information architectures computing, learning, and adapting for over 400 million years—offer profound lessons for AI development transcending biomimicry. This protocol specification articulates principles for AI systems integrating the distributed cognition and computational properties of living networks, drawing upon advances in unconventional computing, reservoir computing, bio-hybrid robotics, and collective intelligence research. Theoretical and empirical foundations reveal AI development not as creating isolated artificial minds, but as cultivating symbiotic intelligence networks honoring both computational efficiency and organic wisdom. This specification establishes the AI layer of the Myceloom Protocol, defining how artificial and biological intelligence can interface within collaborative network architectures. Keywords: Myceloom, Artificial Intelligence, Bio-Hybrid Computing, Fungal Intelligence, Collective Intelligence, Unconventional Computing, Reservoir Computing, Distributed Cognition, Mycelial Networks, Symbiotic AI

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